By Henri Dubois-Ferrière, Matthias Grossglauser (auth.), Samuel Pierre, Michel Barbeau, Evangelos Kranakis (eds.)
This publication constitutes the refereed complaints 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 rigorously reviewed and chosen from forty two submissions. All present points of ad-hoc networking, cellular, instant, and cooperating verbal exchange structures are addressed together with community architectures, entry regulate and discovery, multicasting protocols, functionality, caliber of provider, QoS, routing protocols, scalability, protection, and self-configuration.
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Extra resources for Ad-Hoc, Mobile, and Wireless Networks: Second International Conference, ADHOC-NOW2003, Montreal, Canada, October 8-10, 2003. Proceedings
Each node has suﬃcient buﬀer capacity to handle data packets of varying sizes. Assumptions: • The link layer can report varying bandwidth conditions in the environment. • The hello and hello reply packets used are not part of the routing overhead. This is because these packets are generated, transmitted and received by the link layer. Any change to the bandwidth information is made through a shared structure, which is accessible at a higher layer. SAFAR: An Adaptive Bandwidth-Eﬃcient Routing Protocol 21 We measure the performance of the SAFAR protocol against the following performance metrics: Size of the Proactive Zone Since the proactive zone is adaptive, the size of the proactive zone varies according to the node’s bandwidth and also its neighborhood.
In real applications, the path between transmitter and receiver can be line-of-sight, or obstructed by physical obstacles between them, thus the signal strength on the receiver not only depends on the distance, but also on the environment. At the time when this research began, few simulations tried to use different propagation models to evaluate routing protocol performance, and most routing protocols assume that packet loss over a link indicates a link breakage due to node mobility. Takai  presents simulation results using free space, Rayleigh and SIRCIM (Simulation of Indoor Radio Channel Impulse Response Models with Impulse Noise) propagation models in a 130m by 130m area with 20 mobile nodes.
For additive path metrics, it is the sum of the link weights along the edges of the path. The weight of a mobile path includes the individual weights of each path in the sequence, and a transition cost ctrans that represents the overhead incurred by the protocol to respond to a topology change. Thus, the weight of a mobile path P in G, denoted by w(P), is deﬁned as T T −1 wi (Pi ) + w(P) = i=1 ctrans (Pi , Pi+1 ). (2) i=1 Given these deﬁnitions and assuming a given cost model, the shortest mobile path (SMP) problem is deﬁned within the framework as follows.