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Analyzing DISH for multi-channel MAC protocols in wireless networks

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Analyzing DISH for multi-channel MAC protocols in wireless networks

Content Provider	ACM Digital Library
Author	Motani, Mehul Luo, Tie Srinivasan, Vikram
Abstract	For long, node cooperation has been exploited as a data relaying mechanism. However, the wireless channel allows for much richer interaction between nodes. One such scenario is in a multi-channel environment, where transmitter-receiver pairs may make incorrect decisions (e.g., in selecting channels) but idle neighbors could help by sharing information to prevent undesirable consequences (e.g., data collisions). This represents a Distributed Information SHaring (DISH) mechanism for cooperation and suggests new ways of designing cooperative protocols. However, what is lacking is a theoretical understanding of this new notion of cooperation. In this paper, we view cooperation as a network resource and evaluate the availability of cooperation via a metric, $p_{co},$ the probability of obtaining cooperation. First, we analytically evaluate $p_{co}$ in the context of multi-channel multi-hop wireless networks. Second, we verify our analysis via simulations and the results show that our analysis accurately characterizes the behavior of $p_{co}$ as a function of underlying network parameters. This step also yields important insights into DISH with respect to network dynamics. Third, we investigate the correlation between $p_{co}$ and network performance in terms of collision rate, packet delay, and throughput. The results indicate a near-linear relationship, which may significantly simplify performance analysis for cooperative networks and suggests that $p_{co}$ be used as an appropriate performance indicator itself. Throughout this work, we utilize, as appropriate, three different DISH contexts - model-based DISH, ideal DISH, and real DISH - to explore $p_{co}.$
Starting Page	43
Ending Page	52
Page Count	10
File Format	PDF
ISBN	9781605580739
DOI	10.1145/1374618.1374626
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2008-05-26
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Cooperative communication Distributed information sharing
Content Type	Text
Resource Type	Article

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