An improved algorithm for dispatching the minimum number of electric charging vehicles for wireless sensor networks
Date
2018
Authors
Zhang, Qing
Xu, Wenzheng
Liang, Weifa
Peng, Jian
Liu, Tang
Wang, Tian
Journal Title
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Volume Title
Publisher
Springer
Abstract
The very limited sensor battery energy greatly hinders the large-scale, long-term deployments of wireless sensor networks. This paper studies the problem of scheduling the minimum charging vehicles to charge lifetime-critical sensors in a wireless rechargeable sensor network, by utilizing the breakthrough wireless charging technology. Existing studies still employ a number of charging vehicles to charge sensors. The purchase cost of a charging vehicle however is not inexpensive. To further reduce the number of employed charging vehicles, we propose a novel approximation algorithm, by exploring the combinatorial properties of the problem. The techniques exploited in this paper are essentially different from that in existing studies. Not only do we show that the approximation ratio of the proposed algorithm is much better than that of the state-of-the-art, but also extensive experimental results demonstrate that the number of scheduled charging vehicles by the proposed algorithm is at least 10% less than that by the existing algorithms and the total travel energy consumption of the charging vehicles is also smaller than that by the existing algorithms.
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Keywords
Wireless sensor networks, Wireless energy transfer, Minimum number of dispatched charging vehicles, Approximation algorithm
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Source
Wireless Networks
Type
Journal article
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Restricted until
2099-12-31
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