Open Access

An Adaptive Time-Spread Multiple-Access Policy for Wireless Sensor Networks

EURASIP Journal on Wireless Communications and Networking20072007:064238

DOI: 10.1155/2007/64238

Received: 27 October 2006

Accepted: 13 March 2007

Published: 3 May 2007

Abstract

Sensor networks require a simple and efficient medium access control policy achieving high system throughput with no or limited control overhead in order to increase the network lifetime by minimizing the energy consumed during transmission attempts. Time-spread multiple-access (TSMA) policies that have been proposed for ad hoc network environments, can also be employed in sensor networks, since no control overhead is introduced. However, they do not take advantage of any cross-layer information in order to exploit the idiosyncrasies of the particular sensor network environment such as the presence of typically static nodes and a common destination for the forwarded data. An adaptive probabilistic TSMA-based policy, that is proposed and analyzed in this paper, exploits these idiosyncrasies and achieves higher system throughput than the existing TSMA-based policies without any need for extra control overhead. As it is analytically shown in this paper, the proposed policy always outperforms the existing TSMA-based policies, if certain parameter values are properly set; the analysis also provides for these proper values. It is also shown that the proposed policy is characterized by a certain convergence period and that high system throughput is achieved for long convergence periods. The claims and expectations of the provided analysis are supported by simulation results presented in this paper.

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Authors’ Affiliations

(1)
Department of Informatics, Ionian University
(2)
Department of Informatics & Telecommunications, University of Athens, Panepistimiopolis

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Copyright

© K. Oikonomou and I. Stavrakakis. 2007

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.