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Gugrajah_Yuvaan_ Ramesh_2003.pdf

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ABSTRACT<br />

An ad hoc network is a multi-hop wireless network in which mobile nodes<br />

communicate over a shared wireless channel. The network is formed cooperatively<br />

without specific user administration or configuration and is characterised by a<br />

distributed network management system and the absence of a wired backbone.<br />

Military, law enforcement, and disaster relief operations are often carried out in<br />

situations with no pre-existing network infrastructure and can benefit from such<br />

networks because base stations, which are single points of failure, are undesirable<br />

from a reliability standpoint. The rising popularity of mobile computing has also<br />

created a potentially large commercial market for multimedia applications applied<br />

over wireless ad hoc networks.<br />

This dissertation focuses on the routing aspects of ad hoc networking. The multi-hop<br />

routes between nodes constantly change as the mobile nodes migrate. Ad hoc<br />

network routing algorithms must therefore adapt to the dynamic and unpredictable<br />

topology changes, the random radio propagation conditions and portable power<br />

sources. Various routing protocols have been proposed in the literature for ad hoc<br />

networks. These protocols together with comparative simulations are discussed and a<br />

new protocol based on load balancing and signal quality determination is proposed<br />

.and the simulation results are presented.<br />

Currently the proposed routing protocols are compared using simulation packages<br />

which are often time consuming. This dissertation proposes a mathematical model<br />

for evaluating the routing protocols and the resultant end-to-end blocking<br />

probabilities. The mathematical model is based on a derivation of the reduced load<br />

approximation for analysing networks modelled as loss networks and the evaluation<br />

incorporates and adapts models that have been used for the analysis of cellular Code<br />

Division Multiple Access (CDMA) systems. While analytical methods of solving<br />

blocking probability can potentially generate results orders of magnitude faster than<br />

simulation, they are more importantly essential to network sensitivity analysis,<br />

design and optimisation.<br />

(ii)

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