By Henri Dubois-Ferrière, Matthias Grossglauser (auth.), Samuel Pierre, Michel Barbeau, Evangelos Kranakis (eds.)

This ebook constitutes the refereed complaints of the second one foreign convention on Ad-Hoc Networks and instant, ADHOC-NOW 2003, held in Montreal, Canada in October 2003.

The 23 revised complete papers and four revised brief papers offered have been rigorously reviewed and chosen from forty two submissions. All present elements of ad-hoc networking, cellular, instant, and cooperating verbal exchange structures are addressed together with community architectures, entry keep watch over and discovery, multicasting protocols, functionality, caliber of provider, QoS, routing protocols, scalability, defense, and self-configuration.

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Extra info for Ad-Hoc, Mobile, and Wireless Networks: Second International Conference, ADHOC-NOW2003, Montreal, Canada, October 8-10, 2003. Proceedings

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Within the next few time cycles, a change of direction occurs. Each node is assumed to be equipped with a transceiver whose transmission range (or radius) TR can be varied. It is assumed that all transmissions within this radius are reliable and have a specified channel error rate. Using the transmission radius we calculate the adjacency lists of each node during any point of the simulation and store it in files, which are accessed by the real time simulator at every clock cycle. Thus in each clock cycle a node knows which nodes are adjacent to it without any expensive calculations.

This is to be expected since with a larger standard deviation, there will be nodes whose bandwidth is far greater than its surroundings. Thus the factor F(fitness) increases and it queries more nodes. The average number of nodes remains fairly constant(as expected), since the average bandwidth is held constant. However, the difference between the average and maximum value shows a steady increase. This shows that the fitness function allows adaptive table buildup. Type-1 Success This is a measure of the percentage of successful routes discovered in stage 1 of routing.

Kilambi Simulation We simulate SAFAR under varying conditions of a mobile ad hoc network and show that it achieves its objectives of being highly adaptive. We also evince how SAFAR routes data packets expeditiously whilst remaining bandwidth efficient. The simulator is multi threaded and has been developed in C++. The simulator is, essentially, real time in nature and uses preprocessing of mobility information to relieve some burden off its operation. The number of nodes in our simulation has been fixed at 50 to replicate the scenarios in [12].

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