Download e-book for kindle: Ad-Hoc, Mobile, and Wireless Networks: Second International by Henri Dubois-Ferrière, Matthias Grossglauser (auth.), Samuel

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

This publication constitutes the refereed lawsuits 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 features of ad-hoc networking, cellular, instant, and cooperating communique platforms are addressed together with community architectures, entry keep watch over and discovery, multicasting protocols, functionality, caliber of provider, QoS, routing protocols, scalability, safeguard, 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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At a long distance, this model is more accurate than the free space model. The received signal power at a distance d from the transmitter can be expressed by [10]: 2 Pr ( d ) = Pt Gt Gr ht hr d4 2 (2) where hr and ht are the heights of the transmit and receive antenna respectively. The free space model and two-ray ground model predict that received power decays as a function of distance, the radio transmission range is a perfect circle. The shadowing model is a statistical model. The mean received power at distance d is computed relative to Pr(d0), represented by (in dB) [10]: [ Pr (d ) d ]dB = −10β log( ) + X σ Pr (d0 ) d0 (3) Equation (3) is also called log-normal shadowing model.

Section 3 details the MERIT tool, the implementation of the MERIT framework, describing the generation of a mobile graph in ns-2. We also describe how we extract the actual routes for each of DSR and AODV and use them to compute a MERIT ratio for a given run. We then use the MERIT tool to produce spectra for various parameters. These results are presented and discussed in Section 4. Conclusions and ongoing work are given in Section 5. 1 Overview of the MERIT Framework Since a MANET is a mobile network, MERIT models the history of network topology changes over some time scale T by a sequence of graphs.

The tool takes, as input, a mobile graph as well as actual route traces for the routing protocol under consideration. Once there is sufficient confidence in the ratio for one parameter, runs for other parameters may begin. From a sequence of MERIT ratios for a given parameter, a spectrum is generated. manet Routing Protocol Mobile Graph Actual Paths MERIT Tool MERIT Ratio/Spectrum MERIT Spectrum Visualization Fig. 1. The MERIT tool. 1 Simulation Environment We generate the input for the MERIT tool using an extended version of ns-2 [14] because it has the ability to simulate MANETs [3] and provides a reference implementation of the DSR and AODV routing protocols.

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