By Henri Dubois-Ferrière, Matthias Grossglauser (auth.), Samuel Pierre, Michel Barbeau, Evangelos Kranakis (eds.)
This publication constitutes the refereed court cases of the second one overseas 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 conscientiously reviewed and chosen from forty two submissions. All present facets of ad-hoc networking, cellular, instant, and cooperating communique structures are addressed together with community architectures, entry keep watch over and discovery, multicasting protocols, functionality, caliber of carrier, 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
Packet Delivery Ratio vs Transmisets routed successfully increases with sion Radius transmission range. This is because there is more probability of loss in a route with many hops, as the movement information might not have been registered. Route Acquisition Latency It is deﬁned as the delay between generating a route query and receiving the corresponding reply. During our simulation, we assume that the processing delay of messages is negligible but take into consideration the delay due to queuing of messages in the transmission buﬀer.
A mobility pattern ﬁle deﬁnes the motion of the nodes in the network and the changes in the paths between the nodes over time. A program to generate the mobility pattern is also provided . By default, this program assumes a ﬁxed transmission range of 250 m to denote one hop. The initial positions of the nodes are designated at random and the move sequences are generated according to the random waypoint mobility model. Using an approach similar to Holland and Vaidya [9,10], we generate mobility patterns for the network of 20 nodes moving with a mean speed of 2 m/s for 1800 seconds and a pause time of 0 s.
For every graph in the mobile graph G , we compute the actual path from the source to the destination. To compute the MERIT ratio for the mobile graph G , the SMP algorithm requires the shortest path in each graph of the mobile graph and the shortest path in the intersection of all subsequences of the graph sequence. We implement Dijkstra’s shortest path algorithm to ﬁnd the shortest hop path in any graph, while computing the cost matrix for the SMP algorithm. We use hop count as the metric for our implementation of the SMP because both DSR and AODV use this metric in their path computation.