SlideShare a Scribd company logo
1 of 6
ISSN: 2277 – 9043
        International Journal of Advanced Research in Computer Science and Electronics Engineering
                                                                      Volume 1, Issue 4, June 2012


        Mobility in Vehicular Ad-Hoc Network Based
                  On Collaborative System
                                          Snehal H. Kuche, A. R. Deshmukh, S. S. Dorle
                                                                          The goal of VANET research is to develop a vehicular
Abstract— Vehicular ad-hoc networks (VANETs) are the                       communication system to enable quick and cost efficient
special application of infrastructure-less wireless Mobile                 distribution of data. A key component for VANET
ad-hoc network (MANET). Vehicular ad-hoc networks                          simulations is a realistic vehicular mobility model that
(VANET) allow envisaging a new way to access contents                      ensures that to real deployments. In VANETs the high node
based on epidemic data dissemination, and increasing                       mobility causes frequent topology change which greatly
system scalability. In this paper, we present a collaborative              affects the network performance. The movement of the nodes
system for content diffusion and retrieval among vehicles.                 and its position in the topology is represented by Mobility
This system also relies on multicast epidemic dissemination                Models which is key components of simulation for both
of messages over an adhoc network and exploits vehicles                    MANETs and VANETs routing protocol. Vehicular ad-hoc
mobility and their local storage capabilities. Develop a                   networks (VANETs) are considered to be the special
mobility model based on collaborative system and also                      application of infrastructure-less wireless Mobile ad-hoc
present the epidemic and SPAWN Algorithm for                               network (MANET). Vehicular ad-hoc networks (VANET) [1]
disseminating data includes road intersection, number of                   allow envisaging a new way to access contents based on
participating vehicles and number of packets sent per                      epidemic data dissemination, costs for both the user and the
second by each vehicle. In this system, contents stored into               content publisher, and also increasing system scalability. In
a node are made available and eventually transferred to                    ad hoc network the VANET not only Maintain but also
other vehicles that are wishing to retrieve them. Mobility                 update information on routing between all nodes of a given
models play an important role in VANET simulations. The                    network at all times [3]. One of the most important
simulation shows that our developed mobility model is                      parameters in simulating ad-hoc networks is the node
realistic and can adapt well with proposed Algorithm                       mobility. It is important to use a realistic mobility model so
The paper work defines general communication                               that results from the simulation correctly reflect the
requirements of future data dissemination applications and                 real-world performance of a VANET. A realistic mobility
investigates various wireless carriers that are important to               model [2] should consist of a realistic topological map which
achieve communication in between vehicles and between                      reflects different densities of roads and different categories of
vehicles and nearby infrastructure. Analyze several future                 streets with various speed limits.
applications related to the MDDV field and describe their
communication requirements. The end result of this work is
guidelines to help application developers to epidemic
algorithms and SPAWN Algorithm to application
performance requirements.

  Index Terms— Epidemic data dissemination, inter vehicle
communication, reliability, vehicular ad hoc network.

    INTRODUCTION
Vehicular Ad-Hoc Network (VANET) communication has
recently become an increasingly popular topic in the area of
wireless networking.


   Manuscript received June 20, 2012.
    Snehal H. Kuche, Research Scholar, Department of Computer Science
& Engineering, Email:snehuk.6@gmail.com, G.H.Raisoni College of
Engineering, Nagpur-440016, India.
   A. R. Deshmukh, Assistant Professor, Department of Electronics &
Telecommunication        Engineering,      Email:atul14383@gmail.com,             Fig.1 Structure of Vehicular Ad-Hoc Network
G.H.Raisoni College of Engineering, Nagpur-440016, India,
   S. S. Dorle, Professor, Department of Electronics Engineering, Email:
s_dorle@yahoo.co.uk,       G.H.Raisoni    College     of    Engineering,   Fig.1 shows Vehicular Ad-Hoc Network is a form of Mobile
Nagpur-440016, India                                                       ad-hoc network, to provide communications among nearby
                                                                           vehicles and between vehicles and nearby fixed equipment,
                                                                           usually described as roadside unit (RSU) equipment.
                                                                            Collaborative system refers to working jointly with others
                                                                           in groups especially in an intellectual endeavor to put

                                                                                                                                         66
                                                   All Rights Reserved © 2012 IJARCSEE
ISSN: 2277 – 9043
  International Journal of Advanced Research in Computer Science and Electronics Engineering
                                                                Volume 1, Issue 4, June 2012
together content. The key feature of collaborative content is      Once the gossiping starts between vehicles so the
that it is created, reviewed, refined, enhanced and shared by      downloaded files scattered. In SPAWN, UDP gossip
interactions and contributions of a number of people.              messages are used to disseminate content availability, while
Collaborative content applications are providing new means         data packets are sent using TCP. The system propose, all
for self-expression, individual creativity and development         messages are sent using UDP multicast packets, allow all the
[4]. A collaborative system for content diffusion and              nodes in the neighborhood to observe and cache the
retrieval among vehicles that relies on multicast epidemic         exchanged data.
dissemination of messages over an adhoc network and                  Urban Multi-hop Broadcast (UMB) supports directional
exploits vehicles mobility and their local storage capabilities.   broadcast in VANETs [3]. UMB tries to improve reliability
Use content-based predictor to complete collaborative data         of broadcast by alleviating a hidden terminal problem
[5]. In this system, contents stored into a node are made          through an RTS/CTS-style handshake, and broadcast storms
available and eventually transferred to other vehicles that are    through black-burst signals to select a forwarding node that is
wishing to retrieve them. Data dissemination concerns the          farthest from the sender using location information.
transport of information to intended receivers. Vehicles             In [8] Epidemic algorithms follow the paradigm of nature
exchange information with other vehicles within their short        by applying simple rules to spread information by just having
radio range, and ad hoc wireless networks which are used to        a local view of the environment. Epidemic algorithm refers to
propagate information. Collaborative content is impacting          network protocols that allow rapid dissemination of
the social fabric of society; it has resulted in significant       information from a source through purely local interactions.
changes in information provision and has provided new              [7] A class of algorithms, called epidemic algorithms, have
participation possibilities affecting the different roles.         been successfully used in disseminating information in the
Collaborative content also brings many challenges and              context of various other systems. These systems are usually
problems, which arise from the openness of participation.          decentralized and distributed systems such as replicated
These challenges need to be addressed before the benefits          databases. Messages initiated from the source are rebroadcast
arising from the potential of collaborative content approaches     by neighboring nodes. Extending outward hop by hop until
can be realized.                                                   the entire network is reached.
                                                                               Multihop        ad      hoc      vehicle-to-vehicle
                                                                   communication, together with communication between
                   II.LITURATURE REVIEW                            vehicles and fixed wireless infostations (so called roadside
There is a rich literature available on mobility models and the    units), will enable both public safety and commercial
analysis of routing protocols on mobility models. The              applications. The data traffic that will drive these mobile ad
opportunities for VANET are growing rapidly with many              hoc vehicular networks range from short but critical public
vehicle manufacturers and their suppliers actively supporting      safety data with very tight latency constraints, to large
research and development. Vehicular ad-hoc networks                amounts of bulk ―download‖ data with relatively lenient
(VANET) allow envisaging a new way to access contents              latency constraints, to moderate amounts of near real-time
based on epidemic data dissemination, as well as tearing           data with somewhat tight latency constraints. Allowable
down the costs for both the user and the content publisher,        latency is especially important in safety applications where it
and increasing system scalability. The system is not only          must be very short (milliseconds); since a safety message is
feasible, reliable but also it can be used as a peer-to-peer       useful only for a short period of time and any large delay
download accelerator for improving client-server access. In        might not allow the vehicle to respond in time. In order to
[2], the design and the evaluation of a collaborative system       allow a moving vehicle to establish a connection with other/s
for content diffusion and retrieval among traveling vehicles.      vehicles, a certain amount of time is needed and that is called
This system relies on multicast epidemic dissemination of          connection set up time.
messages and exploits vehicles mobility and their local                       The communication service can be ―Connection
storage capabilities. Necessary requirements and key               oriented‖ where the connection should be set before the
components for the generation of mobility models for               information transmission and maintained until its end, or
VANETs have been given in [3]. The framework presented             ―Connectionless‖ where each individual message sent from
covers most of the required entities and their characteristics     the source contains the destination’s address and reaches the
for the generation of realistic mobility models for VANETs.        recipient without the need for establishing a channel.
The impact of different mobility models on the performance         However, in connectionless services there is no guarantee of
of MANETs routing protocols is given in [4].                       message reception. Therefore, the connectionless
   In [6], the authors propose SPAWN, a cooperative system         communication service can be divided into acknowledged
for content delivery and sharing in VANETs. In this                and unacknowledged services. In acknowledged services the
cooperative system the presence of infrastructure nodes            transmitter must receive an acknowledgement from the
placed at regular intervals along the freeway that provides        receiver to ensure correct message delivery, where the
connectivity to the Internet. The cooperative system based         message is retransmitted in case of a negative
vehicle structure stored data as per requirement and properly      acknowledgement or when no acknowledgement is received
save data inside the vehicle Data storage memory. When a           within a certain time. However, in case of unacknowledged
vehicle wants to download a particular file, it requests the       service, since there is no guarantee of message reception and
content to the nearest gateway and starts to download pieces.      the latency is very low, the message is always repeated to
After getting out of range, the vehicle starts gossiping the       increase the reliability. For safety messages that mostly have
availability of the content and exchanges pieces of the file.      a broadcast nature acknowledgement is neither possible nor
                                                                   wanted; but for messages that use point-to-point

                                                                                                                               67
                                             All Rights Reserved © 2012 IJARCSEE
ISSN: 2277 – 9043
       International Journal of Advanced Research in Computer Science and Electronics Engineering
                                                                     Volume 1, Issue 4, June 2012
communication       acknowledgement        together      with
re-transmissions can be used to reduce the packet loss rate.


Summary: From the literature survey, it is observed that a
collaborative system for content diffusion and retrieval in
vehicular network. Vehicular adhoc network that is based on
a data oriented protocol that offers a mechanism for
downloading contents in a peer-to-peer fashion over
short-range ad-hoc networks. This system delivers good
performance when used to disseminate contents from
road-side stations. This system gives good result while
vehicles are communicating with each other and share data as
per the requirement. Vehicular adhoc network allow data
dissemination which helps to increasing system scalability.

               III. SYSTEM ARCHITECTURE
Mobility models are used for simulation of routing Protocols
so, it is very important to use a mobility model that has most
of the required components of the real world scenarios.



                                                                           Fig.3. System Implementation Architecture

                                                                  System implementation has been split into three concurrent
                                                                  activities (Fig.3): the local agent, the receiver agent and the
                                                                  broadcast agent [9].
                                                                    The local agent is in charge of managing the GUI and reacts
                                                                  to user’s interactions, searching the local database for
      Fig.2 Single Infostation sending data to all vehicles       requested contents and inserting wish and request packets
Fig.2 shows that where a single infostation is sending data to    into the broadcast queue until the desired data are retrieved.
all vehicles traveling in the different direction along a city      The receiver agent processes incoming packets. Wish
area. Here efficiently disseminating information from a           requests are matched against the local database: for each
roadside infostation to a dense unidirectional linear highway     matching manifest file, an offer message is inserted into the
network, as shown in Figure 2.Therefore both the throughput       broadcast queue. If a request message, belonging to a known
and latency that can be achieved using efficient multihop         manifest file, has been received and a compatible set of
vehicle-to-vehicle collaboration. In the case of the vehicular    fragments is available, some of them (randomly picked) are
network, the implementation of random linear network              added to the broadcast queue, e.g. depending on its number
coding is particularly straightforward. Each packet in the        of empty slots. When a data message is received, the
network consists of simply a linear combination of all of the     contained fragment is temporarily quarantined.
source packets. Every vehicle maintains a buffer containing       The broadcast agent is in charge of sending packets to the
all of the linearly independent packets that it has received.     neighborhood. In order to guarantee a fair access to the
When a vehicle chooses to transmit, it generates a set of         medium to all the vehicles in range, a credit system is
random mixing coefficients, uses those coefficients to            employed. A one second timer periodically awakes the
combine the packets in its buffer, and transmits the result       broadcast agent that estimates the available number of
over the channel.                                                 credits.
  Road is the main entity for the development of mobility
traces or maps for any mobility model used for VANETs.                               IV PROPOSED SCHEME
The roads may have single lane or multiple lanes. In single
lane roads there is usually one lane for one direction of         Objectives of study:
traffic. On the other hand, in multiple lane roads there are      Collaborative Content refers to working jointly with others /
multiple paths for vehicles to move on. The number of streets     in groups especially in an intellectual endeavor to put
and intersections in a road also affects the speed of vehicles.   together content. Hence vehicles use standard to store and-
The velocity of a vehicle also affects the motion of other        forward routing. In such a system, each vehicle will maintain
nearby vehicles moving in same lane or moving in side-by          a buffer of all of the packets that it has received. When a
lane. The velocities of the vehicles are high and normally        vehicle chooses to transmit, it will randomly select one of
each lane is assigned a pre defined velocity limits.              those packets. Since coordination among vehicles is
                                                                  undesirable, each vehicle will select a packet to transmit
                                                                  independently of all other vehicles. Implementation of
                                                                  collaborative system for area wise like content management
                                                                  system. A collaborative system for content diffusion and
                                                                  retrieval among vehicles that relies on multicast epidemic

                                                                                                                              68
                                             All Rights Reserved © 2012 IJARCSEE
ISSN: 2277 – 9043
  International Journal of Advanced Research in Computer Science and Electronics Engineering
                                                                Volume 1, Issue 4, June 2012
dissemination of messages over an adhoc network and                When a host S wants to send a message to another host D. S
exploits vehicles mobility and their local storage capabilities.   passes the message to its neighbor hosts and they do the same
In this system, contents stored into a node are made available     until the message reaches D. If there is a partition of the
and eventually transferred to other vehicles that are wishing      network on the way to D. The message is passed throughout
to retrieve them. This system can reduce costs both for the        the network and will eventual received by D with high
content publisher, by cutting down infrastructure needs, and       probability shows in fig.4. Each host stores messages in a
for the user, by avoiding or limiting connectivity expenses.       buffer (hash table), indexed by the unique ID of each
          Data delivery mechanisms define for moving               message.
information through the network. Messages are stored and           In an epidemic algorithm, all system processes are potentially
forwarded as opportunities present themselves. When a              involved in information dissemination. Basically, every
message is forwarded to another node, a copy may remain            process buffers every message it receives up to a certain
with the original and be forwarded again later to improve          buffer capacity b and forwards that message a limited number
reliability. Some simple implementations, e.g., two nodes          of times t. Messages initiated from the source are rebroadcast
exchange data whenever they can communicate and also               by neighboring nodes, extending outward hop by hop until
work well if the data needs to be propagated to everybody. A       the entire network is reached. The process forwards the
message holder in the active state runs the full protocol to       message each time to a randomly selected set of processes of
actively propagate the message while a message holder in the       limited size f, the fan-out of the dissemination. Many variants
passive state only transmits the message if it hears some older    of epidemic algorithms exist and are typically distinguished
message version. The active propagation can help populate          by the values of b, t, and f. These parameters may be fixed
the message, move the message closer to the destination            independently of the number n of processes in the system, in
region or update dissemination status. The passive updating        which case the load imposed on every process remains
serves to eliminate false/obsolete information only. Every         bounded [10].
vehicle stores whatever it overhears since this is almost free
except occupying memory buffers. A vehicle drops a                 Data Generation Phase:
message when the vehicle leaves the passive state during the       1. Vehicle will pass through the area for the first time.
forwarding phase, leaves the active state during the               2. The area server will give the information to the routes.
propagation phase or the message expiration time elapses.          3. The vehicle will store all the information inside its
          To provide a retrieving multimedia content               memory.
available either on publicly accessible Internet servers or
shared by nearby vehicles. Therefore each vehicle will             Data Evaluation Phase:
maintain a buffer of all of the packets that it has received.      1. Vehicle will pass through the area.
When a vehicle chooses to transmit, it will randomly select        2. It will give the area code & compare the code with its
one of those packets. Since coordination among vehicles is         internal memory.
undesirable, each vehicle will select a packet to transmit. A      3. If data is available then depending upon routing table to
message holder can be in either one of two dissemination           route the vehicle properly.
states: the active state and passive state or not eligible to
transmit at all.
                                                                   SPAWN Algorithm
          MDDV (Mobility-Centric Data Dissemination
Algorithm for Vehicular Networks) is a diffusion algorithm         The goal of this protocol is to design and build a data-centric
which considers that vehicles do not have the positions of         software infrastructure. Simplify the structuring and
their surrounding vehicles, contrary to other geographical         implementation of robust and efficient autonomous
algorithms. The road system is modeled as a directed graph         applications across multiple heterogeneous networks.
where nodes represent intersections, and connections road          Protocol includes quality-based source and alternative model
segments. A weight is associated with each connection to           selection and complex event detection. SPAWN has the same
reflect corresponding traffic density and distance. MDDV           generic structure of any swarming protocol [7].
uses a forwarding path specified as the route with the smallest    In these algorithm Spawners not only interested in the
sum of weights from a source to a ―destination region‖ in the      particular file listen to gossip messages of that file and
directed graph.                                                    forward them with a low probability but also interested in
                                                                   listen to those gossip messages and forward them with a
Epidemic Dissemination Parameters                                  higher probability after stamping the route-list of the packet
Epidemic algorithm refers to network protocols that allow          with their own id. An Interested spawner who is currently
rapid dissemination of information from a source through           downloading a file will generate Gossip messages on
purely local interactions [8].                                     completion of downloading a new piece. So the car arrival
                                                                   process at the access point follows a Poisson distribution.
                                                                   When a car comes within range of the gateway, it starts
                                                                   downloading random pieces of the file.




         Fig.4: Message delivery from node S to D

                                                                                                                               69
                                             All Rights Reserved © 2012 IJARCSEE
ISSN: 2277 – 9043
       International Journal of Advanced Research in Computer Science and Electronics Engineering
                                                                     Volume 1, Issue 4, June 2012




   Fig.5: Evolution of a file in a node using the SPAWN
                         Algorithm

Fig5.shows that (1) A car arrives in the range of a gateway,
(2) initiates a download (3) downloads a piece of the file.(4)
After getting out of range,(5) starts to gossip with its                                      Fig.7 (a)
neighbors about content availability (6) exchanges pieces of
the file, thereby getting a larger portion of the file as opposed
to waiting for the next gateway to resume the download.
  SIMULATION RESULT




                                                                                     Fig.7(b) Simulation Result.
                                                                    Fig.7 (a) and Fig.(b) shows simulation result where the server
                                                                    node broadcast the message to the vehicles. Server
                           Fig. 6(a)                                disseminates information about the particular area. The
                                                                    vehicles (node) receive the information from server and then
                                                                    simultaneously transmit the data to the server. One
                                                                    centralized and other sub server is created for data
                                                                    dissemination.




                           Fig. 6(b)
Fig. 6(a) and 6(b) shows the different parameters such as
acceleration, velocity, power dissipation and speed are using
in collaborative system. We considered the following
parameters: number of participating vehicles, number of
                                                                                         Fig.8 Delay output
packets per second sent by each vehicle, number of available
contents, and average size of contents.                             Fig.8 shows the delay output when disseminate data to every
                                                                    node.

                                                                                                                               70
                                              All Rights Reserved © 2012 IJARCSEE
ISSN: 2277 – 9043
  International Journal of Advanced Research in Computer Science and Electronics Engineering
                                                                Volume 1, Issue 4, June 2012
                                                                  circulating vehicles participate to the system and adapt the
                                                                  number of messages sent each second to their neighborhood.
                                                                  This strategy improves a lot the overall results, smoothing
                                                                  down the differences induced by the mobility model. This
                                                                  system can be useful for reducing costs both for the content
                                                                  publisher, by cutting down infrastructure needs, and for the
                                                                  user.
                                                                     Since content is useful only if it has been totally received,
                                                                  content size influences the dissemination much more than the
                                                                  number of available contents. Examine that how vehicles that
                                                                  want different data flows should cooperate with one another
                                                                  .In future we use the Security using Encryption and Routing
                                                                  protocol.
        Fig.9 power dissipation in between vehicles
Fig.9 shows the simulation result that power dissipation in
                                                                  References
between vehicles and time of completion of each wave at the
farthest node in the network and time of transmission of the
                                                                    [1] P. Hong, H. Park, and C. Kang, ―A data forwarding Scheme Based on
first packet of each wave for the Network. Therefore a                       Predictable Parameters in VANET,‖ in Proc. KICS, pp. 231, Feb.
collaborative system for content diffusion and retrieval                     2010.
among vehicles and contents stored into a node are made             [2] Kun-chan Lan and Chien-Ming Chou ―Realistic Mobility Models for
available and eventually transferred to other vehicles that are              Vehicular Ad hoc Network (VANET) Simulations‖
                                                                             978-1-4244-2858-8/08/$25.00 ©2008 IEEE.
wishing to retrieve them.                                           [3] Muhammad Alam, Muhammad Sher S.Afaq Husain ―VANETs
                                                                             Mobility Model Entities and Its Impact‖ IEEE-ICET 2008
                                                                             Rawalpindi, Pakistan, 18-19 October, 2008.
                                                                    [4] Mark Johnson, Luca De Nardis, and Kannan Ramchandran
                                                                             ―Collaborative Content Distribution for Vehicular Ad Hoc
                                                                             Networks‖ National Science Foundation under grants
                                                                             ANI-0326503 and CCR-0330514.
                                                                    [5] Ajazur Rahman ―Collaborative Content Development‖ 7th
                                                                             International    CALIBER-2009,       Pondicherry     University,
                                                                             Puducherry, February 25-27,© INFLIBNET Centre, Ahmedabad.
                                                                    [6] Shirshanka Das, Alok Nandan, Giovanni Pau―SPAWN: A Swarming
                                                                             Protocol for Vehicular Ad-Hoc Wireless Networks‖ VANET’04,
                                                                             October 1, 2004, Philadelphia, Pennsylvania, USA. ACM
                                                                             1-58113-922-5/04/0010
                                                                    [7] P. Hong, H. Park, and C. Kang, ―A data forwarding Scheme Based on
                                                                             Predictable Parameters in VANET,‖ in Proc. KICS, pp. 231, Feb.
                                                                             2010
                                                                    [8] Tim Daniel Hollerung Peter Bleckmann ― Epidemic Algorithms‖
                                                                             August, 4th, 2004 Organizer: Christian Schindelhauer.
                                                                    [9] Mert Akdere et al., ―A comparison of epidemic algorithms in wireless
  Fig.10 sending a variable number of packets per second.                    sensor networks‖, Elsevier Computer Communications, vol. 29,
                                                                             no. 13, August 2006, pp. 2450-2557.
                                                                   [10] Paul Tennent, Malcolm Hall, Barry Brown, Matthew Chalmers, Scott
Fig.10 Shows the simulation result assuming that all                         Sherwood ―Three Applications for Mobile Epidemic Algorithms
circulating vehicles participates to the system and adapt the                ‖ MobileHCI’05, September 19–22, 2005, Salzburg, Austria.
number of messages sent each second to their neighborhood.         [11] C. Barberis and G. Malnati: ―Design and Evaluation of a Collaborative
Adapting the packet transmission rate makes the system                       System for Content Diffusion and Retrieval in Vehicular
                                                                             Networks‖ IEEE Transactions on Consumer Electronics, Vol. 57,
almost independent of the mobility model used.
                                                                             No. 1, February 2011
                                                                   [12] T. Leinm¨uller, E. Schoch, and F. Kargl, ―Position Verficiation
                                                                             Approaches for Vehicular Ad hoc Networks,‖ Wireless
                        CONCLUSION                                           Communications,IEEE, vol. 13, no. 5, pp. 16 –21, october 2006.
Vehicular ad-hoc networks (VANETs) are considered to be
the special application of infrastructure-less wireless Mobile
ad-hoc network (MANET). As mobility model is an
important tool for simulation and analysis so, Vehicular
Ad-Hoc Network (VANET) is surging in popularity, in
which vehicles constitute the mobile nodes in the network.
Due to the prohibitive cost of deploying and implementing
such a system, most research in VANET relies on simulations
for evaluation. Using spawn algorithm,some parameters are
using like Velocity, Coordinates,Packet receiving, Flooding
and power dissipation. These Parameters are use for the
vehicle, when vehicle will start to finding the neighbour
node and then send data to its neighbour node.Then all data
dessiminate and receiving packet fom the servser node. All

                                                                                                                                         71
                                             All Rights Reserved © 2012 IJARCSEE

More Related Content

What's hot

Optimal content downloading in vehicular network with density measurement
Optimal content downloading in vehicular network with density measurementOptimal content downloading in vehicular network with density measurement
Optimal content downloading in vehicular network with density measurementZac Darcy
 
IJCER (www.ijceronline.com) International Journal of computational Engineerin...
IJCER (www.ijceronline.com) International Journal of computational Engineerin...IJCER (www.ijceronline.com) International Journal of computational Engineerin...
IJCER (www.ijceronline.com) International Journal of computational Engineerin...ijceronline
 
Intelligent Approach for Seamless Mobility in Multi Network Environment
Intelligent Approach for Seamless Mobility in Multi Network EnvironmentIntelligent Approach for Seamless Mobility in Multi Network Environment
Intelligent Approach for Seamless Mobility in Multi Network EnvironmentIDES Editor
 
Peer to Peer Approach based Replica and Locality Awareness to Manage and Diss...
Peer to Peer Approach based Replica and Locality Awareness to Manage and Diss...Peer to Peer Approach based Replica and Locality Awareness to Manage and Diss...
Peer to Peer Approach based Replica and Locality Awareness to Manage and Diss...IJCNCJournal
 
3 a survey analysis on manet routing protocols and mobility models for variou...
3 a survey analysis on manet routing protocols and mobility models for variou...3 a survey analysis on manet routing protocols and mobility models for variou...
3 a survey analysis on manet routing protocols and mobility models for variou...INFOGAIN PUBLICATION
 
A Comprehensive Study on Vehicular Ad-Hoc Delay Tolerant Networking for Infra...
A Comprehensive Study on Vehicular Ad-Hoc Delay Tolerant Networking for Infra...A Comprehensive Study on Vehicular Ad-Hoc Delay Tolerant Networking for Infra...
A Comprehensive Study on Vehicular Ad-Hoc Delay Tolerant Networking for Infra...inventionjournals
 
Extended Bandwidth Optimized and Energy Efficient Dynamic Source Routing Prot...
Extended Bandwidth Optimized and Energy Efficient Dynamic Source Routing Prot...Extended Bandwidth Optimized and Energy Efficient Dynamic Source Routing Prot...
Extended Bandwidth Optimized and Energy Efficient Dynamic Source Routing Prot...IJECEIAES
 
ETX METRIC FOR EXTREMELY OPPORTUNISTIC ROUTING TO IMPROVE THE PERFORMANCE OF ...
ETX METRIC FOR EXTREMELY OPPORTUNISTIC ROUTING TO IMPROVE THE PERFORMANCE OF ...ETX METRIC FOR EXTREMELY OPPORTUNISTIC ROUTING TO IMPROVE THE PERFORMANCE OF ...
ETX METRIC FOR EXTREMELY OPPORTUNISTIC ROUTING TO IMPROVE THE PERFORMANCE OF ...ijasuc
 
Traffic Control System by Incorporating Message Forwarding Approach
Traffic Control System by Incorporating Message Forwarding ApproachTraffic Control System by Incorporating Message Forwarding Approach
Traffic Control System by Incorporating Message Forwarding ApproachCSCJournals
 

What's hot (14)

Optimal content downloading in vehicular network with density measurement
Optimal content downloading in vehicular network with density measurementOptimal content downloading in vehicular network with density measurement
Optimal content downloading in vehicular network with density measurement
 
IJCER (www.ijceronline.com) International Journal of computational Engineerin...
IJCER (www.ijceronline.com) International Journal of computational Engineerin...IJCER (www.ijceronline.com) International Journal of computational Engineerin...
IJCER (www.ijceronline.com) International Journal of computational Engineerin...
 
84 88
84 8884 88
84 88
 
Intelligent Approach for Seamless Mobility in Multi Network Environment
Intelligent Approach for Seamless Mobility in Multi Network EnvironmentIntelligent Approach for Seamless Mobility in Multi Network Environment
Intelligent Approach for Seamless Mobility in Multi Network Environment
 
V2 v communications
V2 v communicationsV2 v communications
V2 v communications
 
H1075460
H1075460H1075460
H1075460
 
Peer to Peer Approach based Replica and Locality Awareness to Manage and Diss...
Peer to Peer Approach based Replica and Locality Awareness to Manage and Diss...Peer to Peer Approach based Replica and Locality Awareness to Manage and Diss...
Peer to Peer Approach based Replica and Locality Awareness to Manage and Diss...
 
3 a survey analysis on manet routing protocols and mobility models for variou...
3 a survey analysis on manet routing protocols and mobility models for variou...3 a survey analysis on manet routing protocols and mobility models for variou...
3 a survey analysis on manet routing protocols and mobility models for variou...
 
A Comprehensive Study on Vehicular Ad-Hoc Delay Tolerant Networking for Infra...
A Comprehensive Study on Vehicular Ad-Hoc Delay Tolerant Networking for Infra...A Comprehensive Study on Vehicular Ad-Hoc Delay Tolerant Networking for Infra...
A Comprehensive Study on Vehicular Ad-Hoc Delay Tolerant Networking for Infra...
 
Et24912915
Et24912915Et24912915
Et24912915
 
Parking
ParkingParking
Parking
 
Extended Bandwidth Optimized and Energy Efficient Dynamic Source Routing Prot...
Extended Bandwidth Optimized and Energy Efficient Dynamic Source Routing Prot...Extended Bandwidth Optimized and Energy Efficient Dynamic Source Routing Prot...
Extended Bandwidth Optimized and Energy Efficient Dynamic Source Routing Prot...
 
ETX METRIC FOR EXTREMELY OPPORTUNISTIC ROUTING TO IMPROVE THE PERFORMANCE OF ...
ETX METRIC FOR EXTREMELY OPPORTUNISTIC ROUTING TO IMPROVE THE PERFORMANCE OF ...ETX METRIC FOR EXTREMELY OPPORTUNISTIC ROUTING TO IMPROVE THE PERFORMANCE OF ...
ETX METRIC FOR EXTREMELY OPPORTUNISTIC ROUTING TO IMPROVE THE PERFORMANCE OF ...
 
Traffic Control System by Incorporating Message Forwarding Approach
Traffic Control System by Incorporating Message Forwarding ApproachTraffic Control System by Incorporating Message Forwarding Approach
Traffic Control System by Incorporating Message Forwarding Approach
 

Viewers also liked (7)

Speech PashionVictim - Fashion Camp 7-8 Giugno 2013 Milan
Speech PashionVictim - Fashion Camp 7-8 Giugno 2013 Milan Speech PashionVictim - Fashion Camp 7-8 Giugno 2013 Milan
Speech PashionVictim - Fashion Camp 7-8 Giugno 2013 Milan
 
48 51
48 5148 51
48 51
 
15 19
15 1915 19
15 19
 
25 30
25 3025 30
25 30
 
39 42
39 4239 42
39 42
 
NFC について
NFC についてNFC について
NFC について
 
89 93
89 9389 93
89 93
 

Similar to 66 71

Back-Bone Assisted HOP Greedy Routing for VANET
Back-Bone Assisted HOP Greedy Routing for VANETBack-Bone Assisted HOP Greedy Routing for VANET
Back-Bone Assisted HOP Greedy Routing for VANETijsrd.com
 
Mobile Adhoc Network (MANET) Routing Protocols Analytical Study
Mobile Adhoc Network (MANET) Routing Protocols Analytical StudyMobile Adhoc Network (MANET) Routing Protocols Analytical Study
Mobile Adhoc Network (MANET) Routing Protocols Analytical StudyIOSR Journals
 
Ijartes v1-i1-004
Ijartes v1-i1-004Ijartes v1-i1-004
Ijartes v1-i1-004IJARTES
 
Deterministic AODV Routing Protocol for Vehicular Ad-Hoc Network
Deterministic AODV Routing Protocol for Vehicular Ad-Hoc NetworkDeterministic AODV Routing Protocol for Vehicular Ad-Hoc Network
Deterministic AODV Routing Protocol for Vehicular Ad-Hoc Networkpaperpublications3
 
Migrating packet dropping in mobile ad hoc network based on modified ack-base...
Migrating packet dropping in mobile ad hoc network based on modified ack-base...Migrating packet dropping in mobile ad hoc network based on modified ack-base...
Migrating packet dropping in mobile ad hoc network based on modified ack-base...Alexander Decker
 
Analysis of programming aspects of wireless sensor networks
Analysis of programming aspects of wireless sensor networksAnalysis of programming aspects of wireless sensor networks
Analysis of programming aspects of wireless sensor networksiaemedu
 
Differential Evolution Based Secured Routing Protocols for VANETs
Differential Evolution Based Secured Routing Protocols for VANETsDifferential Evolution Based Secured Routing Protocols for VANETs
Differential Evolution Based Secured Routing Protocols for VANETsIJCSIS Research Publications
 
MOBILE IP ON MOBILE AD HOC NETWORKS: AN IMPLEMENTATION AND PERFORMANCE EVALUA...
MOBILE IP ON MOBILE AD HOC NETWORKS: AN IMPLEMENTATION AND PERFORMANCE EVALUA...MOBILE IP ON MOBILE AD HOC NETWORKS: AN IMPLEMENTATION AND PERFORMANCE EVALUA...
MOBILE IP ON MOBILE AD HOC NETWORKS: AN IMPLEMENTATION AND PERFORMANCE EVALUA...acijjournal
 
LIFETIME IMPROVEMENT USING MOBILE AGENT IN WIRELESS SENSOR NETWORK
LIFETIME IMPROVEMENT USING MOBILE AGENT IN WIRELESS SENSOR NETWORKLIFETIME IMPROVEMENT USING MOBILE AGENT IN WIRELESS SENSOR NETWORK
LIFETIME IMPROVEMENT USING MOBILE AGENT IN WIRELESS SENSOR NETWORKJournal For Research
 
Discovery and verification Documentation
Discovery and verification DocumentationDiscovery and verification Documentation
Discovery and verification DocumentationSambit Dutta
 
Manet mobile ad hoc network – challenges, security and protocols-2
Manet  mobile ad hoc network  – challenges, security and protocols-2Manet  mobile ad hoc network  – challenges, security and protocols-2
Manet mobile ad hoc network – challenges, security and protocols-2prjpublications
 
Comparative study of proactive and reactive routing protocols in vehicular ad...
Comparative study of proactive and reactive routing protocols in vehicular ad...Comparative study of proactive and reactive routing protocols in vehicular ad...
Comparative study of proactive and reactive routing protocols in vehicular ad...IJECEIAES
 
Communication cost minimization in wireless sensor and actor networks for roa...
Communication cost minimization in wireless sensor and actor networks for roa...Communication cost minimization in wireless sensor and actor networks for roa...
Communication cost minimization in wireless sensor and actor networks for roa...ambitlick
 
Simulation Based Analysis of Bee Swarm Inspired Hybrid Routing Protocol Param...
Simulation Based Analysis of Bee Swarm Inspired Hybrid Routing Protocol Param...Simulation Based Analysis of Bee Swarm Inspired Hybrid Routing Protocol Param...
Simulation Based Analysis of Bee Swarm Inspired Hybrid Routing Protocol Param...Editor IJCATR
 

Similar to 66 71 (20)

Back-Bone Assisted HOP Greedy Routing for VANET
Back-Bone Assisted HOP Greedy Routing for VANETBack-Bone Assisted HOP Greedy Routing for VANET
Back-Bone Assisted HOP Greedy Routing for VANET
 
267 272
267 272267 272
267 272
 
Mobile Adhoc Network (MANET) Routing Protocols Analytical Study
Mobile Adhoc Network (MANET) Routing Protocols Analytical StudyMobile Adhoc Network (MANET) Routing Protocols Analytical Study
Mobile Adhoc Network (MANET) Routing Protocols Analytical Study
 
Ijartes v1-i1-004
Ijartes v1-i1-004Ijartes v1-i1-004
Ijartes v1-i1-004
 
Deterministic AODV Routing Protocol for Vehicular Ad-Hoc Network
Deterministic AODV Routing Protocol for Vehicular Ad-Hoc NetworkDeterministic AODV Routing Protocol for Vehicular Ad-Hoc Network
Deterministic AODV Routing Protocol for Vehicular Ad-Hoc Network
 
Migrating packet dropping in mobile ad hoc network based on modified ack-base...
Migrating packet dropping in mobile ad hoc network based on modified ack-base...Migrating packet dropping in mobile ad hoc network based on modified ack-base...
Migrating packet dropping in mobile ad hoc network based on modified ack-base...
 
Analysis of programming aspects of wireless sensor networks
Analysis of programming aspects of wireless sensor networksAnalysis of programming aspects of wireless sensor networks
Analysis of programming aspects of wireless sensor networks
 
Mercury
MercuryMercury
Mercury
 
50120140506003
5012014050600350120140506003
50120140506003
 
Differential Evolution Based Secured Routing Protocols for VANETs
Differential Evolution Based Secured Routing Protocols for VANETsDifferential Evolution Based Secured Routing Protocols for VANETs
Differential Evolution Based Secured Routing Protocols for VANETs
 
MOBILE IP ON MOBILE AD HOC NETWORKS: AN IMPLEMENTATION AND PERFORMANCE EVALUA...
MOBILE IP ON MOBILE AD HOC NETWORKS: AN IMPLEMENTATION AND PERFORMANCE EVALUA...MOBILE IP ON MOBILE AD HOC NETWORKS: AN IMPLEMENTATION AND PERFORMANCE EVALUA...
MOBILE IP ON MOBILE AD HOC NETWORKS: AN IMPLEMENTATION AND PERFORMANCE EVALUA...
 
LIFETIME IMPROVEMENT USING MOBILE AGENT IN WIRELESS SENSOR NETWORK
LIFETIME IMPROVEMENT USING MOBILE AGENT IN WIRELESS SENSOR NETWORKLIFETIME IMPROVEMENT USING MOBILE AGENT IN WIRELESS SENSOR NETWORK
LIFETIME IMPROVEMENT USING MOBILE AGENT IN WIRELESS SENSOR NETWORK
 
Fault tolerance on cloud computing
Fault tolerance on cloud computingFault tolerance on cloud computing
Fault tolerance on cloud computing
 
Discovery and verification Documentation
Discovery and verification DocumentationDiscovery and verification Documentation
Discovery and verification Documentation
 
Manet mobile ad hoc network – challenges, security and protocols-2
Manet  mobile ad hoc network  – challenges, security and protocols-2Manet  mobile ad hoc network  – challenges, security and protocols-2
Manet mobile ad hoc network – challenges, security and protocols-2
 
Comparative study of proactive and reactive routing protocols in vehicular ad...
Comparative study of proactive and reactive routing protocols in vehicular ad...Comparative study of proactive and reactive routing protocols in vehicular ad...
Comparative study of proactive and reactive routing protocols in vehicular ad...
 
Jh2516461655
Jh2516461655Jh2516461655
Jh2516461655
 
Jh2516461655
Jh2516461655Jh2516461655
Jh2516461655
 
Communication cost minimization in wireless sensor and actor networks for roa...
Communication cost minimization in wireless sensor and actor networks for roa...Communication cost minimization in wireless sensor and actor networks for roa...
Communication cost minimization in wireless sensor and actor networks for roa...
 
Simulation Based Analysis of Bee Swarm Inspired Hybrid Routing Protocol Param...
Simulation Based Analysis of Bee Swarm Inspired Hybrid Routing Protocol Param...Simulation Based Analysis of Bee Swarm Inspired Hybrid Routing Protocol Param...
Simulation Based Analysis of Bee Swarm Inspired Hybrid Routing Protocol Param...
 

More from Ijarcsee Journal (20)

130 133
130 133130 133
130 133
 
122 129
122 129122 129
122 129
 
116 121
116 121116 121
116 121
 
109 115
109 115109 115
109 115
 
104 108
104 108104 108
104 108
 
99 103
99 10399 103
99 103
 
93 98
93 9893 98
93 98
 
88 92
88 9288 92
88 92
 
82 87
82 8782 87
82 87
 
78 81
78 8178 81
78 81
 
73 77
73 7773 77
73 77
 
65 72
65 7265 72
65 72
 
58 64
58 6458 64
58 64
 
52 57
52 5752 57
52 57
 
46 51
46 5146 51
46 51
 
41 45
41 4541 45
41 45
 
36 40
36 4036 40
36 40
 
28 35
28 3528 35
28 35
 
24 27
24 2724 27
24 27
 
19 23
19 2319 23
19 23
 

Recently uploaded

SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Wonjun Hwang
 
Vector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesVector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesZilliz
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
The Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfThe Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfSeasiaInfotech2
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piececharlottematthew16
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024The Digital Insurer
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Patryk Bandurski
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 

Recently uploaded (20)

SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
 
Vector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesVector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector Databases
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
The Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfThe Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdf
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piece
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 

66 71

  • 1. ISSN: 2277 – 9043 International Journal of Advanced Research in Computer Science and Electronics Engineering Volume 1, Issue 4, June 2012 Mobility in Vehicular Ad-Hoc Network Based On Collaborative System Snehal H. Kuche, A. R. Deshmukh, S. S. Dorle  The goal of VANET research is to develop a vehicular Abstract— Vehicular ad-hoc networks (VANETs) are the communication system to enable quick and cost efficient special application of infrastructure-less wireless Mobile distribution of data. A key component for VANET ad-hoc network (MANET). Vehicular ad-hoc networks simulations is a realistic vehicular mobility model that (VANET) allow envisaging a new way to access contents ensures that to real deployments. In VANETs the high node based on epidemic data dissemination, and increasing mobility causes frequent topology change which greatly system scalability. In this paper, we present a collaborative affects the network performance. The movement of the nodes system for content diffusion and retrieval among vehicles. and its position in the topology is represented by Mobility This system also relies on multicast epidemic dissemination Models which is key components of simulation for both of messages over an adhoc network and exploits vehicles MANETs and VANETs routing protocol. Vehicular ad-hoc mobility and their local storage capabilities. Develop a networks (VANETs) are considered to be the special mobility model based on collaborative system and also application of infrastructure-less wireless Mobile ad-hoc present the epidemic and SPAWN Algorithm for network (MANET). Vehicular ad-hoc networks (VANET) [1] disseminating data includes road intersection, number of allow envisaging a new way to access contents based on participating vehicles and number of packets sent per epidemic data dissemination, costs for both the user and the second by each vehicle. In this system, contents stored into content publisher, and also increasing system scalability. In a node are made available and eventually transferred to ad hoc network the VANET not only Maintain but also other vehicles that are wishing to retrieve them. Mobility update information on routing between all nodes of a given models play an important role in VANET simulations. The network at all times [3]. One of the most important simulation shows that our developed mobility model is parameters in simulating ad-hoc networks is the node realistic and can adapt well with proposed Algorithm mobility. It is important to use a realistic mobility model so The paper work defines general communication that results from the simulation correctly reflect the requirements of future data dissemination applications and real-world performance of a VANET. A realistic mobility investigates various wireless carriers that are important to model [2] should consist of a realistic topological map which achieve communication in between vehicles and between reflects different densities of roads and different categories of vehicles and nearby infrastructure. Analyze several future streets with various speed limits. applications related to the MDDV field and describe their communication requirements. The end result of this work is guidelines to help application developers to epidemic algorithms and SPAWN Algorithm to application performance requirements. Index Terms— Epidemic data dissemination, inter vehicle communication, reliability, vehicular ad hoc network. INTRODUCTION Vehicular Ad-Hoc Network (VANET) communication has recently become an increasingly popular topic in the area of wireless networking. Manuscript received June 20, 2012. Snehal H. Kuche, Research Scholar, Department of Computer Science & Engineering, Email:snehuk.6@gmail.com, G.H.Raisoni College of Engineering, Nagpur-440016, India. A. R. Deshmukh, Assistant Professor, Department of Electronics & Telecommunication Engineering, Email:atul14383@gmail.com, Fig.1 Structure of Vehicular Ad-Hoc Network G.H.Raisoni College of Engineering, Nagpur-440016, India, S. S. Dorle, Professor, Department of Electronics Engineering, Email: s_dorle@yahoo.co.uk, G.H.Raisoni College of Engineering, Fig.1 shows Vehicular Ad-Hoc Network is a form of Mobile Nagpur-440016, India ad-hoc network, to provide communications among nearby vehicles and between vehicles and nearby fixed equipment, usually described as roadside unit (RSU) equipment. Collaborative system refers to working jointly with others in groups especially in an intellectual endeavor to put 66 All Rights Reserved © 2012 IJARCSEE
  • 2. ISSN: 2277 – 9043 International Journal of Advanced Research in Computer Science and Electronics Engineering Volume 1, Issue 4, June 2012 together content. The key feature of collaborative content is Once the gossiping starts between vehicles so the that it is created, reviewed, refined, enhanced and shared by downloaded files scattered. In SPAWN, UDP gossip interactions and contributions of a number of people. messages are used to disseminate content availability, while Collaborative content applications are providing new means data packets are sent using TCP. The system propose, all for self-expression, individual creativity and development messages are sent using UDP multicast packets, allow all the [4]. A collaborative system for content diffusion and nodes in the neighborhood to observe and cache the retrieval among vehicles that relies on multicast epidemic exchanged data. dissemination of messages over an adhoc network and Urban Multi-hop Broadcast (UMB) supports directional exploits vehicles mobility and their local storage capabilities. broadcast in VANETs [3]. UMB tries to improve reliability Use content-based predictor to complete collaborative data of broadcast by alleviating a hidden terminal problem [5]. In this system, contents stored into a node are made through an RTS/CTS-style handshake, and broadcast storms available and eventually transferred to other vehicles that are through black-burst signals to select a forwarding node that is wishing to retrieve them. Data dissemination concerns the farthest from the sender using location information. transport of information to intended receivers. Vehicles In [8] Epidemic algorithms follow the paradigm of nature exchange information with other vehicles within their short by applying simple rules to spread information by just having radio range, and ad hoc wireless networks which are used to a local view of the environment. Epidemic algorithm refers to propagate information. Collaborative content is impacting network protocols that allow rapid dissemination of the social fabric of society; it has resulted in significant information from a source through purely local interactions. changes in information provision and has provided new [7] A class of algorithms, called epidemic algorithms, have participation possibilities affecting the different roles. been successfully used in disseminating information in the Collaborative content also brings many challenges and context of various other systems. These systems are usually problems, which arise from the openness of participation. decentralized and distributed systems such as replicated These challenges need to be addressed before the benefits databases. Messages initiated from the source are rebroadcast arising from the potential of collaborative content approaches by neighboring nodes. Extending outward hop by hop until can be realized. the entire network is reached. Multihop ad hoc vehicle-to-vehicle communication, together with communication between II.LITURATURE REVIEW vehicles and fixed wireless infostations (so called roadside There is a rich literature available on mobility models and the units), will enable both public safety and commercial analysis of routing protocols on mobility models. The applications. The data traffic that will drive these mobile ad opportunities for VANET are growing rapidly with many hoc vehicular networks range from short but critical public vehicle manufacturers and their suppliers actively supporting safety data with very tight latency constraints, to large research and development. Vehicular ad-hoc networks amounts of bulk ―download‖ data with relatively lenient (VANET) allow envisaging a new way to access contents latency constraints, to moderate amounts of near real-time based on epidemic data dissemination, as well as tearing data with somewhat tight latency constraints. Allowable down the costs for both the user and the content publisher, latency is especially important in safety applications where it and increasing system scalability. The system is not only must be very short (milliseconds); since a safety message is feasible, reliable but also it can be used as a peer-to-peer useful only for a short period of time and any large delay download accelerator for improving client-server access. In might not allow the vehicle to respond in time. In order to [2], the design and the evaluation of a collaborative system allow a moving vehicle to establish a connection with other/s for content diffusion and retrieval among traveling vehicles. vehicles, a certain amount of time is needed and that is called This system relies on multicast epidemic dissemination of connection set up time. messages and exploits vehicles mobility and their local The communication service can be ―Connection storage capabilities. Necessary requirements and key oriented‖ where the connection should be set before the components for the generation of mobility models for information transmission and maintained until its end, or VANETs have been given in [3]. The framework presented ―Connectionless‖ where each individual message sent from covers most of the required entities and their characteristics the source contains the destination’s address and reaches the for the generation of realistic mobility models for VANETs. recipient without the need for establishing a channel. The impact of different mobility models on the performance However, in connectionless services there is no guarantee of of MANETs routing protocols is given in [4]. message reception. Therefore, the connectionless In [6], the authors propose SPAWN, a cooperative system communication service can be divided into acknowledged for content delivery and sharing in VANETs. In this and unacknowledged services. In acknowledged services the cooperative system the presence of infrastructure nodes transmitter must receive an acknowledgement from the placed at regular intervals along the freeway that provides receiver to ensure correct message delivery, where the connectivity to the Internet. The cooperative system based message is retransmitted in case of a negative vehicle structure stored data as per requirement and properly acknowledgement or when no acknowledgement is received save data inside the vehicle Data storage memory. When a within a certain time. However, in case of unacknowledged vehicle wants to download a particular file, it requests the service, since there is no guarantee of message reception and content to the nearest gateway and starts to download pieces. the latency is very low, the message is always repeated to After getting out of range, the vehicle starts gossiping the increase the reliability. For safety messages that mostly have availability of the content and exchanges pieces of the file. a broadcast nature acknowledgement is neither possible nor wanted; but for messages that use point-to-point 67 All Rights Reserved © 2012 IJARCSEE
  • 3. ISSN: 2277 – 9043 International Journal of Advanced Research in Computer Science and Electronics Engineering Volume 1, Issue 4, June 2012 communication acknowledgement together with re-transmissions can be used to reduce the packet loss rate. Summary: From the literature survey, it is observed that a collaborative system for content diffusion and retrieval in vehicular network. Vehicular adhoc network that is based on a data oriented protocol that offers a mechanism for downloading contents in a peer-to-peer fashion over short-range ad-hoc networks. This system delivers good performance when used to disseminate contents from road-side stations. This system gives good result while vehicles are communicating with each other and share data as per the requirement. Vehicular adhoc network allow data dissemination which helps to increasing system scalability. III. SYSTEM ARCHITECTURE Mobility models are used for simulation of routing Protocols so, it is very important to use a mobility model that has most of the required components of the real world scenarios. Fig.3. System Implementation Architecture System implementation has been split into three concurrent activities (Fig.3): the local agent, the receiver agent and the broadcast agent [9]. The local agent is in charge of managing the GUI and reacts to user’s interactions, searching the local database for Fig.2 Single Infostation sending data to all vehicles requested contents and inserting wish and request packets Fig.2 shows that where a single infostation is sending data to into the broadcast queue until the desired data are retrieved. all vehicles traveling in the different direction along a city The receiver agent processes incoming packets. Wish area. Here efficiently disseminating information from a requests are matched against the local database: for each roadside infostation to a dense unidirectional linear highway matching manifest file, an offer message is inserted into the network, as shown in Figure 2.Therefore both the throughput broadcast queue. If a request message, belonging to a known and latency that can be achieved using efficient multihop manifest file, has been received and a compatible set of vehicle-to-vehicle collaboration. In the case of the vehicular fragments is available, some of them (randomly picked) are network, the implementation of random linear network added to the broadcast queue, e.g. depending on its number coding is particularly straightforward. Each packet in the of empty slots. When a data message is received, the network consists of simply a linear combination of all of the contained fragment is temporarily quarantined. source packets. Every vehicle maintains a buffer containing The broadcast agent is in charge of sending packets to the all of the linearly independent packets that it has received. neighborhood. In order to guarantee a fair access to the When a vehicle chooses to transmit, it generates a set of medium to all the vehicles in range, a credit system is random mixing coefficients, uses those coefficients to employed. A one second timer periodically awakes the combine the packets in its buffer, and transmits the result broadcast agent that estimates the available number of over the channel. credits. Road is the main entity for the development of mobility traces or maps for any mobility model used for VANETs. IV PROPOSED SCHEME The roads may have single lane or multiple lanes. In single lane roads there is usually one lane for one direction of Objectives of study: traffic. On the other hand, in multiple lane roads there are Collaborative Content refers to working jointly with others / multiple paths for vehicles to move on. The number of streets in groups especially in an intellectual endeavor to put and intersections in a road also affects the speed of vehicles. together content. Hence vehicles use standard to store and- The velocity of a vehicle also affects the motion of other forward routing. In such a system, each vehicle will maintain nearby vehicles moving in same lane or moving in side-by a buffer of all of the packets that it has received. When a lane. The velocities of the vehicles are high and normally vehicle chooses to transmit, it will randomly select one of each lane is assigned a pre defined velocity limits. those packets. Since coordination among vehicles is undesirable, each vehicle will select a packet to transmit independently of all other vehicles. Implementation of collaborative system for area wise like content management system. A collaborative system for content diffusion and retrieval among vehicles that relies on multicast epidemic 68 All Rights Reserved © 2012 IJARCSEE
  • 4. ISSN: 2277 – 9043 International Journal of Advanced Research in Computer Science and Electronics Engineering Volume 1, Issue 4, June 2012 dissemination of messages over an adhoc network and When a host S wants to send a message to another host D. S exploits vehicles mobility and their local storage capabilities. passes the message to its neighbor hosts and they do the same In this system, contents stored into a node are made available until the message reaches D. If there is a partition of the and eventually transferred to other vehicles that are wishing network on the way to D. The message is passed throughout to retrieve them. This system can reduce costs both for the the network and will eventual received by D with high content publisher, by cutting down infrastructure needs, and probability shows in fig.4. Each host stores messages in a for the user, by avoiding or limiting connectivity expenses. buffer (hash table), indexed by the unique ID of each Data delivery mechanisms define for moving message. information through the network. Messages are stored and In an epidemic algorithm, all system processes are potentially forwarded as opportunities present themselves. When a involved in information dissemination. Basically, every message is forwarded to another node, a copy may remain process buffers every message it receives up to a certain with the original and be forwarded again later to improve buffer capacity b and forwards that message a limited number reliability. Some simple implementations, e.g., two nodes of times t. Messages initiated from the source are rebroadcast exchange data whenever they can communicate and also by neighboring nodes, extending outward hop by hop until work well if the data needs to be propagated to everybody. A the entire network is reached. The process forwards the message holder in the active state runs the full protocol to message each time to a randomly selected set of processes of actively propagate the message while a message holder in the limited size f, the fan-out of the dissemination. Many variants passive state only transmits the message if it hears some older of epidemic algorithms exist and are typically distinguished message version. The active propagation can help populate by the values of b, t, and f. These parameters may be fixed the message, move the message closer to the destination independently of the number n of processes in the system, in region or update dissemination status. The passive updating which case the load imposed on every process remains serves to eliminate false/obsolete information only. Every bounded [10]. vehicle stores whatever it overhears since this is almost free except occupying memory buffers. A vehicle drops a Data Generation Phase: message when the vehicle leaves the passive state during the 1. Vehicle will pass through the area for the first time. forwarding phase, leaves the active state during the 2. The area server will give the information to the routes. propagation phase or the message expiration time elapses. 3. The vehicle will store all the information inside its To provide a retrieving multimedia content memory. available either on publicly accessible Internet servers or shared by nearby vehicles. Therefore each vehicle will Data Evaluation Phase: maintain a buffer of all of the packets that it has received. 1. Vehicle will pass through the area. When a vehicle chooses to transmit, it will randomly select 2. It will give the area code & compare the code with its one of those packets. Since coordination among vehicles is internal memory. undesirable, each vehicle will select a packet to transmit. A 3. If data is available then depending upon routing table to message holder can be in either one of two dissemination route the vehicle properly. states: the active state and passive state or not eligible to transmit at all. SPAWN Algorithm MDDV (Mobility-Centric Data Dissemination Algorithm for Vehicular Networks) is a diffusion algorithm The goal of this protocol is to design and build a data-centric which considers that vehicles do not have the positions of software infrastructure. Simplify the structuring and their surrounding vehicles, contrary to other geographical implementation of robust and efficient autonomous algorithms. The road system is modeled as a directed graph applications across multiple heterogeneous networks. where nodes represent intersections, and connections road Protocol includes quality-based source and alternative model segments. A weight is associated with each connection to selection and complex event detection. SPAWN has the same reflect corresponding traffic density and distance. MDDV generic structure of any swarming protocol [7]. uses a forwarding path specified as the route with the smallest In these algorithm Spawners not only interested in the sum of weights from a source to a ―destination region‖ in the particular file listen to gossip messages of that file and directed graph. forward them with a low probability but also interested in listen to those gossip messages and forward them with a Epidemic Dissemination Parameters higher probability after stamping the route-list of the packet Epidemic algorithm refers to network protocols that allow with their own id. An Interested spawner who is currently rapid dissemination of information from a source through downloading a file will generate Gossip messages on purely local interactions [8]. completion of downloading a new piece. So the car arrival process at the access point follows a Poisson distribution. When a car comes within range of the gateway, it starts downloading random pieces of the file. Fig.4: Message delivery from node S to D 69 All Rights Reserved © 2012 IJARCSEE
  • 5. ISSN: 2277 – 9043 International Journal of Advanced Research in Computer Science and Electronics Engineering Volume 1, Issue 4, June 2012 Fig.5: Evolution of a file in a node using the SPAWN Algorithm Fig5.shows that (1) A car arrives in the range of a gateway, (2) initiates a download (3) downloads a piece of the file.(4) After getting out of range,(5) starts to gossip with its Fig.7 (a) neighbors about content availability (6) exchanges pieces of the file, thereby getting a larger portion of the file as opposed to waiting for the next gateway to resume the download. SIMULATION RESULT Fig.7(b) Simulation Result. Fig.7 (a) and Fig.(b) shows simulation result where the server node broadcast the message to the vehicles. Server Fig. 6(a) disseminates information about the particular area. The vehicles (node) receive the information from server and then simultaneously transmit the data to the server. One centralized and other sub server is created for data dissemination. Fig. 6(b) Fig. 6(a) and 6(b) shows the different parameters such as acceleration, velocity, power dissipation and speed are using in collaborative system. We considered the following parameters: number of participating vehicles, number of Fig.8 Delay output packets per second sent by each vehicle, number of available contents, and average size of contents. Fig.8 shows the delay output when disseminate data to every node. 70 All Rights Reserved © 2012 IJARCSEE
  • 6. ISSN: 2277 – 9043 International Journal of Advanced Research in Computer Science and Electronics Engineering Volume 1, Issue 4, June 2012 circulating vehicles participate to the system and adapt the number of messages sent each second to their neighborhood. This strategy improves a lot the overall results, smoothing down the differences induced by the mobility model. This system can be useful for reducing costs both for the content publisher, by cutting down infrastructure needs, and for the user. Since content is useful only if it has been totally received, content size influences the dissemination much more than the number of available contents. Examine that how vehicles that want different data flows should cooperate with one another .In future we use the Security using Encryption and Routing protocol. Fig.9 power dissipation in between vehicles Fig.9 shows the simulation result that power dissipation in References between vehicles and time of completion of each wave at the farthest node in the network and time of transmission of the [1] P. Hong, H. Park, and C. Kang, ―A data forwarding Scheme Based on first packet of each wave for the Network. Therefore a Predictable Parameters in VANET,‖ in Proc. KICS, pp. 231, Feb. collaborative system for content diffusion and retrieval 2010. among vehicles and contents stored into a node are made [2] Kun-chan Lan and Chien-Ming Chou ―Realistic Mobility Models for available and eventually transferred to other vehicles that are Vehicular Ad hoc Network (VANET) Simulations‖ 978-1-4244-2858-8/08/$25.00 ©2008 IEEE. wishing to retrieve them. [3] Muhammad Alam, Muhammad Sher S.Afaq Husain ―VANETs Mobility Model Entities and Its Impact‖ IEEE-ICET 2008 Rawalpindi, Pakistan, 18-19 October, 2008. [4] Mark Johnson, Luca De Nardis, and Kannan Ramchandran ―Collaborative Content Distribution for Vehicular Ad Hoc Networks‖ National Science Foundation under grants ANI-0326503 and CCR-0330514. [5] Ajazur Rahman ―Collaborative Content Development‖ 7th International CALIBER-2009, Pondicherry University, Puducherry, February 25-27,© INFLIBNET Centre, Ahmedabad. [6] Shirshanka Das, Alok Nandan, Giovanni Pau―SPAWN: A Swarming Protocol for Vehicular Ad-Hoc Wireless Networks‖ VANET’04, October 1, 2004, Philadelphia, Pennsylvania, USA. ACM 1-58113-922-5/04/0010 [7] P. Hong, H. Park, and C. Kang, ―A data forwarding Scheme Based on Predictable Parameters in VANET,‖ in Proc. KICS, pp. 231, Feb. 2010 [8] Tim Daniel Hollerung Peter Bleckmann ― Epidemic Algorithms‖ August, 4th, 2004 Organizer: Christian Schindelhauer. [9] Mert Akdere et al., ―A comparison of epidemic algorithms in wireless Fig.10 sending a variable number of packets per second. sensor networks‖, Elsevier Computer Communications, vol. 29, no. 13, August 2006, pp. 2450-2557. [10] Paul Tennent, Malcolm Hall, Barry Brown, Matthew Chalmers, Scott Fig.10 Shows the simulation result assuming that all Sherwood ―Three Applications for Mobile Epidemic Algorithms circulating vehicles participates to the system and adapt the ‖ MobileHCI’05, September 19–22, 2005, Salzburg, Austria. number of messages sent each second to their neighborhood. [11] C. Barberis and G. Malnati: ―Design and Evaluation of a Collaborative Adapting the packet transmission rate makes the system System for Content Diffusion and Retrieval in Vehicular Networks‖ IEEE Transactions on Consumer Electronics, Vol. 57, almost independent of the mobility model used. No. 1, February 2011 [12] T. Leinm¨uller, E. Schoch, and F. Kargl, ―Position Verficiation Approaches for Vehicular Ad hoc Networks,‖ Wireless CONCLUSION Communications,IEEE, vol. 13, no. 5, pp. 16 –21, october 2006. Vehicular ad-hoc networks (VANETs) are considered to be the special application of infrastructure-less wireless Mobile ad-hoc network (MANET). As mobility model is an important tool for simulation and analysis so, Vehicular Ad-Hoc Network (VANET) is surging in popularity, in which vehicles constitute the mobile nodes in the network. Due to the prohibitive cost of deploying and implementing such a system, most research in VANET relies on simulations for evaluation. Using spawn algorithm,some parameters are using like Velocity, Coordinates,Packet receiving, Flooding and power dissipation. These Parameters are use for the vehicle, when vehicle will start to finding the neighbour node and then send data to its neighbour node.Then all data dessiminate and receiving packet fom the servser node. All 71 All Rights Reserved © 2012 IJARCSEE