Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/39483
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Type: Conference paper
Title: Optimal energy balanced data gathering in wireless sensor networks
Author: Zhang, H.
Shen, H.
Tan, Y.
Citation: IEEE International Parallel and Distributed Processing Symposium, 26-30 March 2007:pp.58-68
Publisher: IEEE
Publisher Place: USA
Issue Date: 2007
ISBN: 1424409101
9781424409105
Conference Name: IEEE International Parallel and Distributed Processing Symposium (21st : 2007 : Long Beach, CA, USA)
Statement of
Responsibility: 
Haibo Zhang, Hong Shen, Yasuo Tan
Abstract: Unbalanced energy consumption is an inherent problem in wireless sensor networks where some nodes may be overused and die out early, resulting in a short network lifetime. In this paper, we investigate the problem of balancing energy consumption for data gathering sensor networks. Our key idea is to exploit the tradeoff between hop-by-hop transmission and direct transmission to balance energy dissipation among sensor nodes. By assigning each node a transmission probability which controls the ratio between hop-by-hop transmission and direct transmission, we formulate the energy consumption balancing problem as an optimal transmission probability allocation problem. We discuss this problem for both chain networks and general networks. Moreover, we present the solution to compute the optimal number of sections in terms of maximizing the network lifetime. Numerical results demonstrate that our methods outperform the traditional hop-by-hop and direct transmission schemes and achieve significant lifetime extension especially for dense sensor networks.
Rights: © 2007 IEEE
RMID: 0020076751
DOI: 10.1109/IPDPS.2007.370248
Appears in Collections:Computer Science publications

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