List of IEEE NS2 Projects. It Contains the IEEE Projects in the Language NS2 with ieee publication year 2014

1. IEEE 2014 NS2 Projects
Web : www.kasanpro.com Email : sales@kasanpro.com
List Link : http://kasanpro.com/projects-list/ieee-2014-ns2-projects
Title :An Error Minimizing Framework for Localizing Jammers in Wireless Networks
Language : NS2
Project Link : http://kasanpro.com/p/ns2/error-minimizing-localizing-jammers-wireless-networks-code
Abstract : Jammers can severely disrupt the communications in wireless networks, and jammers' position information
allows the defender to actively eliminate the jamming attacks. Thus, in this paper, we aim to design a framework that
can localize one or multiple jammers with a high accuracy. Most of existing jammer-localization schemes utilize
indirect measurements (e.g., hearing ranges) affected by jamming attacks, which makes it difficult to localize jammers
accurately. Instead, we exploit a direct measurement-the strength of jamming signals (JSS). Estimating JSS is
challenging as jamming signals may be embedded in other signals. As such, we devise an estimation scheme based
on ambient noise floor and validate it with real-world experiments. To further reduce estimation errors, we define an
evaluation feedback metric to quantify the estimation errors and formulate jammer localization as a non-linear
optimization problem, whose global optimal solution is close to jammers' true positions. We explore several heuristic
search algorithms for approaching the global optimal solution, and our simulation results show that our
error-minimizing-based framework achieves better performance than the existing schemes. In addition, our error
minimizing framework can utilize indirect measurements to obtain a better location estimation compared with prior
work.
Title :NCCloud: A Network-Coding-Based Storage System in a Cloud-of-Clouds
Language : NS2
Project Link : http://kasanpro.com/p/ns2/nccloud-network-coding-based-storage-system-cloud-clouds-code
Abstract : To provide fault tolerance for cloud storage, recent studies propose to stripe data across multiple cloud
vendors. However, if a cloud suffers from a permanent failure and loses all its data, we need to repair the lost data
with the help of the other surviving clouds to preserve data redundancy. We present a proxy-based storage system for
fault-tolerant multiple-cloud storage called NCCloud, which achieves cost-effective repair for a permanent single-cloud
failure. NCCloud is built on top of a network-coding-based storage scheme called the functional minimum-storage
regenerating (FMSR) codes, which maintain the same fault tolerance and data redundancy as in traditional erasure
codes (e.g., RAID-6), but use less repair traffic and hence incur less monetary cost due to data transfer. One key
design feature of our FMSR codes is that we relax the encoding requirement of storage nodes during repair, while
preserving the benefits of network coding in repair. We implement a proof-of-concept prototype of NCCloud and
deploy it atop both local and commercial clouds. We validate that FMSR codes provide significant monetary cost
savings in repair over RAID-6 codes, while having comparable response time performance in normal cloud storage
operations such as upload/download.
Title :Compatibility-aware Cloud Service Composition Under Fuzzy Preferences
Language : NS2
Project Link : http://kasanpro.com/p/ns2/compatibility-aware-cloud-service-composition-under-fuzzy-preference
Abstract : When a single Cloud service (i.e., a software image and a virtual machine), on its own, cannot satisfy all
the user requirements, a composition of Cloud services is required. Cloud service composition, which includes several
tasks such as discovery, compatibility checking, selection, and deployment, is a complex process and users find it
difficult to select the best one among the hundreds, if not thousands, of possible compositions available. Service
composition in Cloud raises even new challenges caused by diversity of users with different expertise requiring their
applications to be deployed across difference geographical locations with distinct legal constraints. The main difficulty
lies in selecting a combination of virtual appliances (software images) and infrastructure services that are compatible
and satisfy a user with vague preferences. Therefore, we present a framework and algorithms which simplify Cloud
service composition for unskilled users. We develop an ontologybased approach to analyze Cloud service
compatibility by applying reasoning on the expert knowledge. In addition, to minimize effort of users in expressing

2. their preferences, we apply combination of evolutionary algorithms and fuzzy logic for composition optimization. This
lets users express their needs in linguistics terms which brings a great comfort to them compared to systems that
force users to assign exact weights for all preferences.
Title :DOTS: A Propagation Delay-aware Opportunistic MAC Protocol for Underwater Sensor Networks
Language : NS2
Project Link : http://kasanpro.com/p/ns2/dots-propagation-delay-aware-opportunistic-mac-protocol-underwater-sensor-network
Abstract : Underwater Acoustic Sensor Networks (UW-ASNs) use acoustic links as a means of communications and
are accordingly confronted with long propagation delays, low bandwidth, and high transmission power consumption.
This unique situation, however, permits multiple packets to concurrently propagate in the underwater channel, which
must be exploited in order to improve the overall throughput. To this end, we propose the Delay-aware Opportunistic
Transmission Scheduling (DOTS) algorithm that uses passively obtained local information (i.e., neighboring nodes'
propagation delay map and their expected transmission schedules) to increase the chances of concurrent
transmissions while reducing the likelihood of collisions. Our extensive simulation results document that DOTS
outperforms existing solutions and provides fair medium access.
Title :From MAP to DIST: The Evolution of a Large-Scale WLAN Monitoring System
Language : NS2
Project Link : http://kasanpro.com/p/ns2/from-map-dist-the-evolution-large-scale-wlan-monitoring-system-code
Abstract : The edge of the Internet is increasingly becoming wireless. Therefore, monitoring the wireless edge is
important to understanding the security and performance aspects of the Internet experience. We designed and
implemented a large-scale WLAN monitoring system, the Dartmouth Internet security testbed (DIST), at Dartmouth
College. It is equipped with distributed arrays of "sniffers" that cover 210 diverse campus locations and more than
5,000 users. In this paper, we describe our approach, designs, and solutions for addressing the technical challenges
that have resulted from efficiency, scalability, security, and management perspectives. We also present extensive
evaluation results on a production network, and summarize the lessons learned.
IEEE 2014 NS2 Projects
Title :Verification and Inference of Positions in Vehicular Networks through Anonymous Beaconing
Language : NS2
Project Link :
http://kasanpro.com/p/ns2/verification-inference-positions-vehicular-networks-anonymous-beaconing-code
Abstract : A number of vehicular networking applications require continuous knowledge of the location of vehicles
and tracking of the routes they follow, including, e.g., real-time traffic monitoring, e-tolling, and liability attribution in
case of accidents. Locating and tracking vehicles has however strong implications in terms of security and user
privacy. On the one hand, there should be a mean for an authority to verify the correctness of positioning information
announced by a vehicle, so as to identify potentially misbehaving cars. On the other, public disclosure of identity and
position of drivers should be avoided, so as not to jeopardize user privacy. In this paper, we address such issues by
introducing A-VIP, a secure, privacy-preserving framework for continuous tracking of vehicles. A-VIP leverages
anonymous position beacons from vehicles, and the cooperation of nearby cars collecting and reporting the beacons
they hear. Such information allows a location authority to verify the positions announced by vehicles, or to infer the
actual ones if needed, without resorting to computationally expensive asymmetric cryptography. We assess the
effectiveness of A-VIP via realistic simulation and experimental testbeds.
Title :Information Flow Control for Secure Cloud Computing
Language : NS2
Project Link : http://kasanpro.com/p/ns2/information-flow-control-secure-cloud-computing-code
Abstract : Security concerns are widely seen as an obstacle to the adoption of cloud computing solutions.
Information Flow Control (IFC) is a well understood Mandatory Access Control methodology. The earliest IFC models
targeted security in a centralised environment, but decentralised forms of IFC have been designed and implemented,
often within academic research projects. As a result, there is potential for decentralised IFC to achieve better cloud
security than is available today.
In this paper we describe the properties of cloud computing-- Platform-as-a-Service clouds in particular--and review a

3. range of IFC models and implementations to identify opportunities for using IFC within a cloud computing context.
Since IFC security is linked to the data that it protects, both tenants and providers of cloud services can agree on
security policy, in a manner that does not require them to understand and rely on the particulars of the cloud software
stack in order to effect enforcement.
Title :The Silence of the LANs: Efficient Leakage Resilience for IPsec VPNs
Language : NS2
Project Link : http://kasanpro.com/p/ns2/efficient-leakage-resilience-ipsec-vpns-code
Abstract : Virtual Private Networks (VPNs) are increasingly used to build logically isolated networks. However,
existing VPN designs and deployments neglected the problem of traffic analysis and covert channels. Hence, there
are many ways to infer information from VPN traffic without decrypting it. Many proposals have been made to mitigate
network covert channels, but previous works remained largely theoretical or resulted in prohibitively high padding
overhead and performance penalties.
In this work, we (1) analyse the impact of covert channels in IPsec, (2) present several improved and novel
approaches for covert channel mitigation in IPsec, (3) propose and implement a system for dynamic performance
trade-o_s, and (4) implement our design in the Linux IPsec stack and evaluate its performance for different types of
traffic and mitigation policies. At only 24% overhead, our prototype enforces tight information-theoretic bounds on all
information leak- age. To encourage further research on practical systems, our prototype is available for public use.
http://kasanpro.com/ieee/final-year-project-center-madurai-reviews
Title :Balancing Performance, Accuracy, and Precision for Secure Cloud Transactions
Language : NS2
Project Link :
http://kasanpro.com/p/ns2/balancing-performance-accuracy-precision-secure-cloud-distributed-transactions
Abstract : In distributed transactional database systems deployed over cloud servers, entities cooperate to form
proofs of authorization that are justified by collections of certified credentials. These proofs and credentials may be
evaluated and collected over extended time periods under the risk of having the underlying authorization policies or
the user credentials being in inconsistent states. It therefore becomes possible for policy-based authorization systems
to make unsafe decisions that might threaten sensitive resources. In this paper, we highlight the criticality of the
problem. We then define the notion of trusted transactions when dealing with proofs of authorization. Accordingly, we
propose several increasingly stringent levels of policy consistency constraints, and present different enforcement
approaches to guarantee the trustworthiness of transactions executing on cloud servers. We propose a Two-Phase
Validation Commit protocol as a solution, which is a modified version of the basic Two-Phase Commit protocols. We
finally analyze the different approaches presented using both analytical evaluation of the overheads and simulations
to guide the decision makers to which approach to use.
Title :Location Management in Cellular Networks
Language : NS2
Project Link : http://kasanpro.com/p/ns2/location-management-cellular-networks-code
Abstract : In a cellular network, a service coverage area is divided into smaller areas of hexagonal shape, referred to
as cells. The cellular concept was introduced to reuse the radio frequency. In order to accommodate more
subscribers, the size of cells must be reduced to make more efficient use of the limited frequency spectrum allocation.
This will add to the challenge of some fundamental issues in cellular networks. Location management is one of the
fundamental issues in cellular networks. It deals with how to track subscribers on the move. This chapter surveys
recent research on location management in cellular networks.
IEEE 2014 NS2 Projects
Title :Localized Movement-Assisted Sensor Deployment Algorithm for Hole Detection and Healing
Language : NS2
Project Link :
http://kasanpro.com/p/ns2/localized-movement-assisted-sensor-deployment-algorithm-hole-detection-healing

4. Abstract : One of the fundamental services provided by a wireless sensor network (WSN) is the monitoring of a
specified region of interest (RoI). Considering the fact that emergence of holes in the RoI is unavoidable due to the
inner nature of WSNs, random deployment, environmental factors, and external attacks, assuring that the RoI is
completely and continuously covered is very important. This paper seeks to address the problem of hole detection
and healing in mobile WSNs. We discuss the main drawbacks of existing solutions and we identify four key elements
that are critical for ensuring effective coverage in mobile WSNs: 1) determining the boundary of the RoI, 2) detecting
coverage holes and estimating their characteristics, 3) determining the best target locations to relocate mobile nodes
to repair holes, and 4) dispatching mobile nodes to the target locations while minimizing the moving and messaging
cost. We propose a lightweight and comprehensive solution, called holes detection and healing (HEAL), that
addresses all of the aforementioned aspects. The computation complexity of HEAL is O2 where v is the average
number of 1-hop neighbors. HEAL is a distributed and localized algorithm that operates in two distinct phases. The
first identifies the boundary nodes and discovers holes using a lightweight localized protocol over the Gabriel graph of
the network. The second treats the hole healing, with novel concept, hole healing area. We propose a distributed
virtual forces-based local healing approach where only the nodes located at an appropriate distance from the hole will
be involved in the healing process. Through extensive simulations we show that HEAL deals with holes of various
forms and sizes, and provides a cost-effective and an accurate solution for hole detection and healing.
Title :Achieving Effective Cloud Search Services: Multi-keyword Ranked Search over Encrypted Cloud Data
Supporting Synonym Query
Language : NS2
Project Link : http://kasanpro.com/p/ns2/multi-keyword-ranked-search-cloud-search-services-encrypted-cloud
Abstract : In recent years, consumer-centric cloud computing paradigm has emerged as the development of smart
electronic devices combined with the emerging cloud computing technologies. A variety of cloud services are
delivered to the consumers with the premise that an effective and efficient cloud search service is achieved. For
consumers, they want to find the most relevant products or data, which is highly desirable in the "pay-as-you use"
cloud computing paradigm. As sensitive data (such as photo albums, emails, personal health records, financial
records, etc.) are encrypted before outsourcing to cloud, traditional keyword search techniques are useless.
Meanwhile, existing search approaches over encrypted cloud data support only exact or fuzzy keyword search, but
not semantics-based multi-keyword ranked search. Therefore, how to enable an effective searchable system with
support of ranked search remains a very challenging problem. This paper proposes an effective approach to solve the
problem of multi-keyword ranked search over encrypted cloud data supporting synonym queries. The main
contribution of this paper is summarized in two aspects: multi-keyword ranked search to achieve more accurate
search results and synonym-based search to support synonym queries. Extensive experiments on real-world dataset
were performed to validate the approach, showing that the proposed solution is very effective and efficient for
multikeyword ranked searching in a cloud environment.
Title :A Mechanism Design Approach to Resource Procurement in Cloud Computing
Language : NS2
Project Link : http://kasanpro.com/p/ns2/resource-procurement-cloud-computing
Abstract : We present a cloud resource procurement approach which not only automates the selection of an
appropriate cloud vendor but also implements dynamic pricing. Three possible mechanisms are suggested for cloud
resource procurement: cloud-dominant strategy incentive compatible (C-DSIC), cloud-Bayesian incentive compatible
(C-BIC), and cloud optimal (C-OPT). C-DSIC is dominant strategy incentive compatible, based on the VCG
mechanism, and is a low-bid Vickrey auction. C-BIC is Bayesian incentive compatible, which achieves budget
balance. C-BIC does not satisfy individual rationality. In C-DSIC and C-BIC, the cloud vendor who charges the lowest
cost per unit QoS is declared the winner. In C-OPT, the cloud vendor with the least virtual cost is declared the winner.
C-OPT overcomes the limitations of both C-DSIC and C-BIC. C-OPT is not only Bayesian incentive compatible, but
also individually rational. Our experiments indicate that the resource procurement cost decreases with increase in
number of cloud vendors irrespective of the mechanisms. We also propose a procurement module for a cloud broker
which can implement C-DSIC, C-BIC, or C-OPT to perform resource procurement in a cloud computing context. A
cloud broker with such a procurement module enables users to automate the choice of a cloud vendor among many
with diverse offerings, and is also an essential first step toward implementing dynamic pricing in the cloud.
Title :A Novel Model for Competition and Cooperation Among Cloud Providers
Language : NS2
Project Link : http://kasanpro.com/p/ns2/competition-cooperation-model-among-cloud-providers
Abstract : Having received significant attention in the industry, the cloud market is nowadays fiercely competitive with
many cloud providers. On one hand, cloud providers compete against each other for both existing and new cloud

5. users. To keep existing users and attract newcomers, it is crucial for each provider to offer an optimal price policy
which maximizes the final revenue and improves the competitive advantage. The competition among providers leads
to the evolution of the market and dynamic resource prices over time. On the other hand, cloud providers may
cooperate with each other to improve their final revenue. Based on a Service Level Agreement, a provider can
outsource its users' resource requests to its partner to reduce the operation cost and thereby improve the final
revenue. This leads to the problem of determining the cooperating parties in a cooperative environment. This paper
tackles these two issues of the current cloud market. First, we solve the problem of competition among providers and
propose a dynamic price policy. We employ a discrete choice model to describe the user's choice behavior based on
his obtained benefit value. The choice model is used to derive the probability of a user choosing to be served by a
certain provider. The competition among providers is formulated as a non-cooperative stochastic game where the
players are providers who act by proposing the price policy simultaneously. The game is modelled as a Markov
Decision Process whose solution is a Markov Perfect Equilibrium. Then, we address the cooperation among providers
by presenting a novel algorithm for determining a cooperation strategy that tells providers whether to satisfy users'
resource requests locally or outsource them to a certain provider. The algorithm yields the optimal cooperation
structure from which no provider unilaterally deviates to gain more revenue. Numerical simulations are carried out to
evaluate the performance of the proposed models.
Title :Consistency as a Service: Auditing Cloud Consistency
Language : NS2
Project Link : http://kasanpro.com/p/ns2/consistency-as-a-service-auditing-cloud-consistency
Abstract : Cloud storage services have become commercially popular due to their overwhelming advantages. To
provide ubiquitous always-on access, a cloud service provider (CSP) maintains multiple replicas for each piece of
data on geographically distributed servers. A key problem of using the replication technique in clouds is that it is very
expensive to achieve strong consistency on a worldwide scale. In this paper, we first present a novel consistency as a
service (CaaS) model, which consists of a large data cloud and multiple small audit clouds. In the CaaS model, a data
cloud is maintained by a CSP, and a group of users that constitute an audit cloud can verify whether the data cloud
provides the promised level of consistency or not. We propose a two-level auditing architecture, which only requires a
loosely synchronized clock in the audit cloud. Then, we design algorithms to quantify the severity of violations with
two metrics: the commonality of violations, and the staleness of the value of a read. Finally, we devise a heuristic
auditing strategy (HAS) to reveal as many violations as possible. Extensive experiments were performed using a
combination of simulations and real cloud deployments to validate HAS.
IEEE 2014 NS2 Projects
Title :Panda: Public Auditing for Shared Data with Efficient User Revocation in the Cloud
Language : NS2
Project Link : http://kasanpro.com/p/ns2/panda-public-auditing-shared-data-efficient-user-revocation-cloud-code
Abstract : With data storage and sharing services in the cloud, users can easily modify and share data as a group.
To ensure shared data integrity can be verified publicly, users in the group need to compute signatures on all the
blocks in shared data. Different blocks in shared data are generally signed by different users due to data modifications
performed by different users. For security reasons, once a user is revoked from the group, the blocks which were
previously signed by this revoked user must be re-signed by an existing user. The straightforward method, which
allows an existing user to download the corresponding part of shared data and re-sign it during user revocation, is
inefficient due to the large size of shared data in the cloud. In this paper, we propose a novel public auditing
mechanism for the integrity of shared data with efficient user revocation in mind. By utilizing the idea of proxy
re-signatures, we allow the cloud to re-sign blocks on behalf of existing users during user revocation, so that existing
users do not need to download and re-sign blocks by themselves. In addition, a public verifier is always able to audit
the integrity of shared data without retrieving the entire data from the cloud, even if some part of shared data has
been re-signed by the cloud. Moreover, our mechanism is able to support batch auditing by verifying multiple auditing
tasks simultaneously. Experimental results show that our mechanism can significantly improve the efficiency of user
revocation.
http://kasanpro.com/ieee/final-year-project-center-madurai-reviews
Title :Performance and cost evaluation of an adaptive encryption architecture for cloud databases
Language : NS2
Project Link :
http://kasanpro.com/p/ns2/performance-cost-evaluation-adaptive-encryption-architecture-cloud-databases-code

6. Abstract : The cloud database as a service is a novel paradigm that can support several Internet-based applications,
but its adoption requires the solution of information confidentiality problems. We propose a novel architecture for
adaptive encryption of public cloud databases that offers an interesting alternative to the trade-off between the
required data confidentiality level and the flexibility of the cloud database structures at design time. We demonstrate
the feasibility and performance of the proposed solution through a software prototype. Moreover, we propose an
original cost model that is oriented to the evaluation of cloud database services in plain and encrypted instances and
that takes into account the variability of cloud prices and tenant workload during a medium-term period.
Title :Cloud-Assisted Mobile-Access of Health Data With Privacy and Auditability
Language : NS2
Project Link : http://kasanpro.com/p/ns2/cloud-assisted-mobile-access-health-data-privacy-auditability
Abstract : Motivated by the privacy issues, curbing the adoption of electronic healthcare systems and the wild
success of cloud service models, we propose to build privacy into mobile healthcare systemswith the help of the
private cloud. Our system offers salient features including efficient key management, privacy-preserving data storage,
and retrieval, especially for retrieval at emergencies, and auditability for misusing health data. Specifically, we
propose to integrate key management from pseudorandom number generator for unlinkability, a secure indexing
method for privacypreserving keyword searchwhich hides both search and access patterns based on redundancy,
and integrate the concept of attributebased encryption with threshold signing for providing role-based access control
with auditability to prevent potential misbehavior, in both normal and emergency cases.
Title :Efficient Authentication for Mobile and Pervasive Computing
Language : NS2
Project Link : http://kasanpro.com/p/ns2/efficient-authentication-mobile-pervasive-computing-code
Abstract : With today's technology, many applications rely on the existence of small devices that can exchange
information and form communication networks. In a significant portion of such applications, the confidentiality and
integrity of the communicated messages are of particular interest. In this work, we propose two novel techniques for
authenticating short encrypted messages that are directed to meet the requirements of mobile and pervasive
applications. By taking advantage of the fact that the message to be authenticated must also be encrypted, we
propose provably secure authentication codes that are more efficient than any message authentication code in the
literature. The key idea behind the proposed techniques is to utilize the security that the encryption algorithm can
provide to design more efficient authentication mechanisms, as opposed to using standalone authentication
primitives.
Title :Map-Aware Models for Indoor Wireless Localization Systems: An Experimental Study
Language : NS2
Project Link : http://kasanpro.com/p/ns2/map-aware-models-indoor-wireless-localization-systems-code
Abstract : The accuracy of indoor wireless localization systems can be substantially enhanced by map-awareness,
i.e., by the knowledge of the map of the environment in which localization signals are acquired. In fact, this knowledge
can be exploited to cancel out, at least to some extent, the signal degradation due to propagation through physical
obstructions, i.e., to the so called non-line-of-sight bias. This result can be achieved by developing novel localization
techniques that rely on proper mapaware statistical modelling of the measurements they process. In this manuscript a
unified statistical model for the measurements acquired in map-aware localization systems based on time-ofarrival
and received signal strength techniques is developed and its experimental validation is illustrated. Finally, the
accuracy of the proposed map-aware model is assessed and compared with that offered by its map-unaware
counterparts. Our numerical results show that, when the quality of acquired measurements is poor, map-aware
modelling can enhance localization accuracy by up to 110% in certain scenarios.
IEEE 2014 NS2 Projects
Title :Preserving Location Privacy in Geo-Social Applications
Language : NS2
Project Link : http://kasanpro.com/p/ns2/preserving-location-privacy-geo-social-applications-code
Abstract : Using geo-social applications, such as FourSquare, millions of people interact with their surroundings

7. through their friends and their recommendations. Without adequate privacy protection, however, these systems can
be easily misused, e.g., to track users or target them for home invasion. In this paper, we introduce LocX, a novel
alternative that provides significantly-improved location privacy without adding uncertainty into query results or relying
on strong assumptions about server security. Our key insight is to apply secure user-specific, distance-preserving
coordinate transformations to all location data shared with the server. The friends of a user share this user's secrets
so they can apply the same transformation. This allows all location queries to be evaluated correctly by the server, but
our privacy mechanisms guarantee that servers are unable to see or infer the actual location data from the
transformed data or from the data access. We show that LocX provides privacy even against a powerful adversary
model, and we use prototype measurements to show that it provides privacy with very little performance overhead,
making it suitable for today's mobile devices.
Title :Privacy-Preserving Optimal Meeting Location Determination on Mobile Devices
Language : NS2
Project Link :
http://kasanpro.com/p/ns2/privacy-preserving-optimal-meeting-location-determination-mobile-devices-code
Abstract : Equipped with state-of-the-art smartphones and mobile devices, today's highly interconnected urban
population is increasingly dependent on these gadgets to organize and plan their daily lives. These applications often
rely on current (or preferred) locations of individual users or a group of users to provide the desired service, which
jeopardizes their privacy; users do not necessarily want to reveal their current (or preferred) locations to the service
provider or to other, possibly untrusted, users. In this paper, we propose privacy-preserving algorithms for determining
an optimal meeting location for a group of users. We perform a thorough privacy evaluation by formally quantifying
privacy-loss of the proposed approaches. In order to study the performance of our algorithms in a real deployment,
we implement and test their execution efficiency on Nokia smartphones. By means of a targeted user-study, we
attempt to get an insight into the privacy-awareness of users in locationbased services and the usability of the
proposed solutions.
Title :Cooperation Versus Multiplexing: Multicast Scheduling Algorithms for OFDMA Relay Networks
Language : NS2
Project Link :
http://kasanpro.com/p/ns2/cooperation-multiplexing-multicast-scheduling-algorithms-ofdma-relay-networks
Abstract : With the next-generation cellular networks making a transition toward smaller cells, two-hop orthogonal
frequency-division multiple access (OFDMA) relay networks have become a dominant, mandatory component in the
4G standards (WiMAX 802.16j, 3GPP LTE-Adv). While unicast flows have received reasonable attention in two-hop
OFDMA relay networks, not much light has been shed on the design of efficient scheduling algorithms for multicast
flows. Given the growing importance of multimedia broadcast and multicast services (MBMS) in 4G networks, the
latter forms the focus of this paper. We show that while relay cooperation is critical for improving multicast
performance, it must be carefully balanced with the ability to multiplex multicast sessions and hence maximize
aggregate multicast flow. To this end, we highlight strategies that carefully group relays for cooperation to achieve this
balance. We then solve the multicast scheduling problem under two OFDMA subchannelization models. We establish
the NP-hardness of the scheduling problem even for the simpler model and provide efficient algorithms with
approximation guarantees under both models. Evaluation of the proposed solutions reveals the efficiency of the
scheduling algorithms as well as the significant benefits obtained from the multicasting strategy.
Title :D2P: Distributed Dynamic Pricing Policy in Smart Grid for PHEVs Management
Language : NS2
Project Link : http://kasanpro.com/p/ns2/d2p-distributed-dynamic-pricing-policy-smart-grid-phevs-management-code
Abstract : Future large-scale deployment of plug-in hybrid electric vehicles (PHEVs) will render massive energy
demand on the electric grid during peak-hours. We propose an intelligent distributed dynamic pricing (D2P)
mechanism for the charging of PHEVs in a smart grid architecture -- an effort towards optimizing the energy
consumption profile of PHEVs users. Each micro-grid decides real-time dynamic price as home-price and
roaming-price, depending on the supply-demand curve, to optimize its revenue. Consequently, two types of energy
services are considered -- home micro-grid energy, and foreign microgrid energy. After designing the PHEVs' mobility
and battery models, the pricing policies for the home-price and the roamingprice are presented. A decision making
process to implement a cost-effective charging and discharging method for PHEVs is also demonstrated based on the
real-time price decided by the micro-grids. We evaluate and compare the results of distributed pricing policy with other
existing centralized/distributed ones. Simulation results show that using the proposed architecture, the utility
corresponding to the PHEVs increases by approximately 34% over that of the existing ones for optimal charging of
PHEVs.

8. http://kasanpro.com/ieee/final-year-project-center-madurai-reviews
Title :Retransmission Delays With Bounded Packets: Power-Law Body and Exponential Tail
Language : NS2
Project Link :
http://kasanpro.com/p/ns2/retransmission-delays-with-bounded-packets-power-law-body-exponential-tail-code
Abstract : Retransmissions serve as the basic building block that communication protocols use to achieve reliable
data transfer. Until recently, the number of retransmissions was thought to follow a geometric (light-tailed) distribution.
However, recent work shows that when the distribution of the packet sizes have infinite support, retransmission-based
protocols may result in heavy-tailed delays and possibly zero throughput even when the aforementioned distribution is
light-tailed. In reality, however, packet sizes are often bounded by the maximum transmission unit (MTU), and thus
the aforementioned result merits a deeper investigation. To that end, in this paper, we allow the distribution of the
packet size to have finite support. Under mild conditions, we show that the transmission duration distribution exhibits
a transition from a power-law main body to an exponential tail. The timescale to observe the power-law main body is
roughly equal to the average transmission duration of the longest packet. The power-law main body, if significant,
may cause the channel throughput to be very close to zero. These theoretical findings provide an understanding on
why some empirical measurements suggest heavy tails. We use these results to further highlight the engineering
implications of distributions with power-law main bodies and light tails by analyzing two cases: 1) the throughput of
ON-OFF channels with retransmissions, where we show that even when packet sizes have small means and
bounded support the variability in their sizes can greatly impact system performance; 2) the distribution of the number
of jobs in an queue with server failures. Here, we show that retransmissions can cause long-range dependence and
quantify the impact of the maximum job sizes on the long-range dependence.
IEEE 2014 NS2 Projects
Title :Secure Data Retrieval for Decentralized Disruption-Tolerant Military Networks
Language : NS2
Project Link :
http://kasanpro.com/p/ns2/secure-data-retrieval-decentralized-disruption-tolerant-military-networks-code
Abstract : Mobile nodes in military environments such as a battlefield or a hostile region are likely to suffer from
intermittent network connectivity and frequent partitions. Disruption-tolerant network (DTN) technologies are
becoming successful solutions that allow wireless devices carried by soldiers to communicate with each other and
access the confidential information or command reliably by exploiting external storage nodes. Some of the most
challenging issues in this scenario are the enforcement of authorization policies and the policies update for secure
data retrieval. Ciphertext-policy attribute-based encryption (CP-ABE) is a promising cryptographic solution to the
access control issues. However, the problem of applying CP-ABE in decentralized DTNs introduces several security
and privacy challenges with regard to the attribute revocation, key escrow, and coordination of attributes issued from
different authorities. In this paper, we propose a secure data retrieval scheme using CP-ABE for decentralized DTNs
where multiple key authorities manage their attributes independently. We demonstrate how to apply the proposed
mechanism to securely and efficiently manage the confidential data distributed in the disruption-tolerant military
network.