NDLI: Balance-Based Energy-Efficient Communication Protocols forWireless Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Yu Wang Hongyi Wu Nelavelli, R. Nian-Feng Tzeng
Copyright Year	2006
Description	Author affiliation: University of Louisiana at Lafayette, (Yu Wang)
Abstract	Energy efficiency is a critical design issue in wireless sensor networks, where each sensor node relies on its limited battery power for data acquisition, processing, transmission, and reception. In this paper, we propose several energy-efficient communication schemes based on power control and load balancing, aiming at even distribution of the residual energy of the sensors and thus prolonging the lifetime of overall wireless sensor networks. More specifically, an Integer Linear Programming (ILP) algorithm and a Distributed Energy Efficient Routing (DEER) protocol are proposed for time-driven sensor networks. A Residual Energy-based Traffic Splitting (RETS) protocol is introduced for event-driven sensor networks. We have carried out extensive simulations to evaluate the proposed protocols. Our simulation results show that most heuristic approaches yield network lifetimes far smaller than the upper bound obtained from the ILP algorithm. The proposed DEER and RETS approaches can effectively distribute energy consumption evenly among the sensor nodes to prolong the network lifetime by up to 200% or more, when compared with other approaches in the literature.
Starting Page	85
Ending Page	85
File Size	251230
Page Count	1
File Format	PDF
ISBN	0769525415
ISSN	15450678
DOI	10.1109/ICDCSW.2006.26
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-07-04
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Energy efficiency Wireless sensor networks Batteries Data acquisition Power control Load management Integer linear programming Routing protocols Communication system traffic control Traffic control
Content Type	Text
Resource Type	Article

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