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Maximizing Sensor Lifetime via Multi-node Partial-Charging on Sensors

delete2022-01-01
delete12
PRE
AI
刘金香 (Jingxiang Liu)
J
Jian Peng
W
Wenzheng Xu *
W
Weifa Liang
T
Tang Liu
X
Xi Peng
Z
Zichuan Xu
郑力 cover
郑力 (Zheng Li)
X
Xiaohua Jia
DOI:10.1109/TMC.2022.3200070delete
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Abstract

Abstract

En 中文
In this paper, we study the employment of a mobile charger to charge lifetime-critical sensors under the multi-node partial-charging model, in which the charger can simultaneously charge the sensors within its charging range and each sensor may be partially charged each time. We notice that existing studies only scheduled the charger to minimize the number of dead sensors, but did not consider the charging scheduling for the sensors that have already run out of their energy, and the dead sensors will be last charged by the mobile charger. Then, their dead durations may be very long. In this paper, we consider not only how to minimize the number of dead sensors but also reduce the dead durations of sensors. To this end, we first formulate a sensor lifetime maximization problem, which is to find a charging tour for a mobile charger to charge sensors, such that the sum of sensor lifetimes is maximized. We then propose a novel $\frac{1}{3}$13-approximation algorithm for the problem. We finally evaluate the performance of the proposed algorithm through experiments. Experimental results show that both the average and maximum sensor dead durations by the proposed algorithm are up to 70% shorter than those by existing algorithms.
Keywords:
Wireless sensor networks
Schedules
Energy consumption
Wireless rechargeable sensor networks
multi-node charging
partial charging
approximation algorithm

Journal

IEEE Transactions on Mobile Computing cover
IEEE Transactions on Mobile Computing
IF:
9.2
Papers:
5.6K
Citations:
1.8W

Organization

S
Sichuan Normal University
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Citations: 4.3K
C
City University of Hong Kong
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Papers: 3.0W
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S
sichuan university
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11.9W
Papers: 7.7W
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D
Dalian University of Technology
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Papers: 4.4W
Citations: 5.5W
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