Cooperative load balancing and dynamic channel allocation for cluster based mobile ad hoc networks || 2015-2016 IEEE NS2 Projects Training Contact: IIS TECHNOLOGIES ph:9952077540,landline:044 42637391 mail:info@iistechnologies.in

1. COOPERATIVE LOAD BALANCING AND DYNAMIC CHANNEL
ALLOCATION FOR CLUSTER-BASED MOBILE AD HOC
NETWORKS
Presented by
IIS TECHNOLOGIES
No: 40, C-Block,First Floor,HIET Campus,
North Parade Road,St.Thomas Mount,
Chennai, Tamil Nadu 600016.
Landline:044 4263 7391,mob:9952077540.
Email:info@iistechnologies.in,
Web:www.iistechnologies.in
www.iistechnologies.in
Ph: 9952077540

2. Abstract
• Mobile ad hoc networks (MANETs) are becoming increasingly common, and typical network loads
considered for MANETs are increasing as applications evolve.
• This, in turn, increases the importance of bandwidth efficiency while maintaining tight
requirements on energy consumption delay and jitter.
• Coordinated channel access protocols have been shown to be well suited for highly loaded
MANETs under uniform load distributions.
• However, these protocols are in general not as well suited for non-uniform load distributions as
uncoordinated channel access protocols due to the lack of on-demand dynamic channel
allocation mechanisms that exist in infrastructure based coordinated protocols.
• In this project, we present a lightweight dynamic channel allocation mechanism and a
cooperative load balancing strategy that are applicable to cluster based MANETs to address this
problem.
• We present protocols that utilize these mechanisms to improve performance in terms of
throughput, energy consumption and inter-packet delay variation (IPDV).
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3. Existing System
• A distributed dynamic channel allocation algorithm with no optimality guarantees for a network
with a fixed a-priori control channel assignment.
• Alternatively, there are various game-theoretic approaches to the channel allocation problem in
ad hoc wireless networks.
• Multichannel model the channel allocation problem in multi-hop ad hoc wireless networks as a
static cooperative game, in which some players collaborate to achieve a high data rate.
• In multi-hop wireless networks, CSMA techniques enable the same radio resources to be used in
distinct locations, leading to increased bandwidth efficiencies at the cost of possible collisions due
to the hidden terminal problem.
• Different channel reservation techniques are used to tackle the hidden terminal problem. Karn
use an RTS/ CTS packet exchange mechanism before the transmission of the data packet.
• 802.11 distributed coordination function (DCF) uses a similar mechanism.
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4. Disadvantages
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• Existing approaches are not scalable
• They not cover group communication

5. Proposed System
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• In this project we propose two algorithms to cope with the non-uniform load distributions in
MANETs: a light weight distributed dynamic channel allocation (DCA) algorithm based on
spectrum sensing, and a cooperative load balancing algorithm in which nodes select their channel
access providers based on the availability of the resources.
• We apply these two algorithms for managing non-uniform load distribution in MANETs into an
energy efficient real-time coordinated MAC protocol, named MH-TRACE. In MH-TRACE, the
channel access is regulated by dynamically selected cluster heads (CHs).
• MH-TRACE has been shown to have higher throughput and to be more energy efficient compared
to CSMA type protocols.
• Although MH-TRACE incorporates spatial reuse, it does not provide any channel borrowing or
load balancing mechanisms and thus does not provide optimal support to non-uniform loads.

6. Advantages
• Increase the throughput
• Here we use scalable approach
• Reduce energy consumption
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7. Flow Diagram
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Dynamic channel
allocation
Managing non-uniform
load distribution
Cooperative load balancing
algorithm
MH-TRACE
Not provide channel any
channel borrowing
Not provide optimal support to
non-uniform loads

8. Conclusion
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• In this project we have not investigated the effects of upper layers such as the routing layer, and
instead focused on the MAC layer capability and local broadcasting service.
• Packet routing has a significant impact on the load distribution.
• Local link layer broadcasting service is directly used by some routing algorithms such as network
flooding.
• Moreover, it can be used alongside with network coding and simultaneous transmission
techniques for cooperative diversity.

9. Future Work
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• In general, joint optimization of the MAC and routing layers may enable even more efficient
solutions. Investigation of the effects of routing is left as future work.

10. TOOLS AND SOFTWARE USED
Software
• Network simulator(NS2)
Language
• Object Oriented Tool Command Language(OTCL)
• C++
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11. References
• B. Karaoglu, T. Numanoglu, and W. Heinzelman, “Analytical performance of soft
clustering protocols,” Ad Hoc Netw., vol. 9, no. 4, pp. 635–651, Jun. 2011.
• Part 15.3: Wireless medium access control (MAC) and physical layer (PHY)
specifications for high rate wireless personal area networks (WPAN), IEEE Draft
Standard, Draft P802.15.3/D16, Feb. 2003.
• Wireless Medium Access Control (MAC) and Phys. Layer (PHY) Specifications for
Low-Rate Wireless Personal Area Networks (WPANs), IEEE Standard 802.15.4-
2006, Sep. 2006.
• B. Tavli, and W. B. Heinzelman, “MH-TRACE: Multi hop time reservation using
adaptive control for energy efficiency,” IEEE J. Sel. Areas Commun., vol. 22, no. 5,
pp. 942–953, Jun. 2004.
• M. Kappes, “An experimental performance analysis of {MAC} multicast in 802.11b
networks for VOIP traffic,” Comput. Commun., vol. 29, no. 8, pp. 938–948, 2006.
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12. Services Offered
• Coding with Software’s
• Documents
• Video File
• Skype classes(Online Support)
• Team viewer Support(Online Support)
• Future Enhancement
• Paper writing
• Support For Inter-National Conference paper publication.
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Ph: 9952077540

13. Contact
IIS TECHNOLOGIES
No: 40, C-Block,First Floor,HIET Campus,
North Parade Road,St.Thomas Mount,
Chennai, Tamil Nadu 600016.
Landline:044 4263 7391,mob:9952077540.
Email:info@iistechnologies.in,
Web:www.iistechnologies.in
www.iistechnologies.in