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

<p/> <p>Sensor networks require a simple and efficient medium access control policy achieving high <it>system throughput</it> with no or limited <it>control overhead</it> in order to increase the <it>network lifetime</it> by minimizing the <it>en...

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Main Authors: Stavrakakis Ioannis, Oikonomou Konstantinos
Format: Article
Language:English
Published: SpringerOpen 2007-01-01
Series:EURASIP Journal on Wireless Communications and Networking
Online Access:http://jwcn.eurasipjournals.com/content/2007/064238
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spelling doaj-dad5f445b31e45b5ace27aafffeced922020-11-24T21:33:53ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14721687-14992007-01-0120071064238An Adaptive Time-Spread Multiple-Access Policy for Wireless Sensor NetworksStavrakakis IoannisOikonomou Konstantinos<p/> <p>Sensor networks require a simple and efficient medium access control policy achieving high <it>system throughput</it> with no or limited <it>control overhead</it> in order to increase the <it>network lifetime</it> by minimizing the <it>energy consumed</it> 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 <it>cross-layer</it> 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 <it>adaptive</it> 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 <it>convergence period</it> 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.</p> http://jwcn.eurasipjournals.com/content/2007/064238
collection DOAJ
language English
format Article
sources DOAJ
author Stavrakakis Ioannis
Oikonomou Konstantinos
spellingShingle Stavrakakis Ioannis
Oikonomou Konstantinos
An Adaptive Time-Spread Multiple-Access Policy for Wireless Sensor Networks
EURASIP Journal on Wireless Communications and Networking
author_facet Stavrakakis Ioannis
Oikonomou Konstantinos
author_sort Stavrakakis Ioannis
title An Adaptive Time-Spread Multiple-Access Policy for Wireless Sensor Networks
title_short An Adaptive Time-Spread Multiple-Access Policy for Wireless Sensor Networks
title_full An Adaptive Time-Spread Multiple-Access Policy for Wireless Sensor Networks
title_fullStr An Adaptive Time-Spread Multiple-Access Policy for Wireless Sensor Networks
title_full_unstemmed An Adaptive Time-Spread Multiple-Access Policy for Wireless Sensor Networks
title_sort adaptive time-spread multiple-access policy for wireless sensor networks
publisher SpringerOpen
series EURASIP Journal on Wireless Communications and Networking
issn 1687-1472
1687-1499
publishDate 2007-01-01
description <p/> <p>Sensor networks require a simple and efficient medium access control policy achieving high <it>system throughput</it> with no or limited <it>control overhead</it> in order to increase the <it>network lifetime</it> by minimizing the <it>energy consumed</it> 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 <it>cross-layer</it> 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 <it>adaptive</it> 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 <it>convergence period</it> 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.</p>
url http://jwcn.eurasipjournals.com/content/2007/064238
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