Abstract | ||
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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. |
Year | DOI | Venue |
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2007 | 10.1109/IPDPS.2007.370248 | IPDPS |
Keywords | Field | DocType |
chain network,direct transmission,wireless sensor network,energy dissipation,energy consumption,optimal transmission probability allocation,wireless sensor networks,hop-by-hop transmission,energy balanced data gathering,probability,network topology,computer networks,computer science,sensor network,data gathering,energy balance,protocols | Key distribution in wireless sensor networks,Transmission (mechanics),Data collection,Dissipation,Computer science,Computer network,Network topology,Exploit,Wireless sensor network,Energy consumption,Distributed computing | Conference |
ISBN | Citations | PageRank |
1-4244-0910-1 | 21 | 1.18 |
References | Authors | |
12 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Haibo Zhang | 1 | 169 | 27.72 |
Hong Shen | 2 | 880 | 101.63 |
Yasuo Tan | 3 | 151 | 25.41 |