Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.497501
Title: Improving signalling performance of proactive MANET routing protocols
Author: Huang, Yangcheng
Awarding Body: University of London
Current Institution: University College London (University of London)
Date of Award: 2007
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Abstract:
A mobile ad hoc network (MANET) comprises a set of nodes connected by radio wireless links in a temporary manner. The topology of a MANET may change rapidly and unpredictably because of node mobility. Resources in such networks (such as bandwidth and battery life) are constrained. These issues make routing packets between any node pair a challenging task, especially for proactive MANET routing protocols. Each node of a proactive MANET routing protocol maintains routing information to every other node in the network at all times. The routing information has to be updated to reflect the topology changes and guarantee the correctness of route selection. Additionally, the dissemination of control messages has to be optimised for efficient resource usage and to alleviate channel contention problems. This dissertation investigates the signalling performance of proactive MANET routing protocols, using a combination of simulation-based study and model-based analysis. The impacts of soft state signalling, especially the refresh intervals, are studied under various scenarios. A variety of topology ad vertisement strategies are presented. Two optimised neighbour detection schemes are proposed, namely the Dynamic Timer algorithm and the Fast Neighbour Handshake algorithm, in order to enhance routing performance. These efforts have allowed this dissertation to provide a clear insight into various aspects of soft- state signalling performance in dynamic resource-constrained networks, and to provide useful under standing on how to effectively design MANET protocols. In addition, this research proposes a number of original signalling mechanisms to improve routing performance. These are described and evaluated within the dissertation along with recommendations for further study.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.497501  DOI: Not available
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