NDLI: Distributed Partner Choice for Energy Efficient Cooperation in a Wireless Sensor Network

Content Provider	IEEE Xplore Digital Library
Author	Simic, L. Berber, S.M. Sowerby, K.W.
Copyright Year	2008
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Univ. of Auckland, Auckland (Simic, L.; Berber, S.M.; Sowerby, K.W.)
Abstract	Cooperative diversity can be applied to energy-constrained wireless sensor networks to significantly reduce node energy consumption. However, cooperation partners must be carefully selected and coordinated to practically exploit this energy saving potential. In this paper we investigate partner choice for energy efficient cooperation in a wireless sensor network. We formulate novel and computationally efficient partner choice heuristics for sensor nodes based on either global or local knowledge of average path loss values in the network. We present extensive simulation results of cooperation in a wireless sensor network to show that the proposed heuristics achieve near-optimally energy efficient partner selection. Our results also demonstrate that large network-wide energy savings are achieved as a result of cooperative communication. Therefore, our simple partner choice heuristics form the basis of an effective distributed cooperation protocol for improving the energy efficiency of a wireless sensor network. Very importantly from the point of view of practical implementation, we show that our partner choice heuristic based on local information is the most effective cooperation strategy for resource-constrained wireless sensor networks, as it yields superior energy conservation results while enabling fully distributed and scalable cooperation.
Starting Page	1
Ending Page	6
File Size	297850
Page Count	6
File Format	PDF
ISBN	9781424423248
ISSN	1930529X
DOI	10.1109/GLOCOM.2008.ECP.919
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-11-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Energy efficiency Wireless sensor networks Energy consumption Potential energy Computer networks Wireless application protocol Costs Telecommunication network reliability Transmitting antennas Computational modeling
Content Type	Text
Resource Type	Article

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