Optimal energy balanced data gathering in wireless sensor networks

Zhang Haibo, Shen Hong, Tan Yasuo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

45 Citations (Scopus)

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 life-time. 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.

Original languageEnglish
Title of host publicationProceedings - 21st International Parallel and Distributed Processing Symposium, IPDPS 2007; Abstracts and CD-ROM
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event21st International Parallel and Distributed Processing Symposium, IPDPS 2007 - Long Beach, CA, United States
Duration: 26 Mar 200730 Mar 2007

Publication series

NameProceedings - 21st International Parallel and Distributed Processing Symposium, IPDPS 2007; Abstracts and CD-ROM

Conference

Conference21st International Parallel and Distributed Processing Symposium, IPDPS 2007
Country/TerritoryUnited States
CityLong Beach, CA
Period26/03/0730/03/07

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