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Sensors 2017, 17(7), 1560; https://doi.org/10.3390/s17071560

A Study on Wireless Charging for Prolonging the Lifetime of Wireless Sensor Networks

1
School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China
2
School of Science, Hangzhou Dianzi University, Hangzhou 310018, China
*
Author to whom correspondence should be addressed.
Received: 24 May 2017 / Revised: 18 June 2017 / Accepted: 27 June 2017 / Published: 4 July 2017
(This article belongs to the Section Sensor Networks)
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Abstract

Wireless charging is an important issue in wireless sensor networks, since it can provide an emerging and effective solution in the absence of other power supplies. The state-of-the-art methods employ a mobile car and a predefined moving path to charge the sensor nodes in the network. Previous studies only consider a factor of the network (i.e., residual energy of sensor node) as a constraint to design the wireless charging strategy. However, other factors, such as the travelled distance of the mobile car, can also affect the effectiveness of wireless charging strategy. In this work, we study wireless charging strategy based on the analysis of a combination of two factors, including the residual energy of sensor nodes and the travelled distance of the charging car. Firstly, we theoretically analyze the limited size of the sensor network to match the capability of a charging car. Then, the networked factors are selected as the weights of traveling salesman problem (TSP) to design the moving path of the charging car. Thirdly, the charging time of each sensor node is computed based on the linear programming problem for the charging car. Finally, a charging period for the network is studied. The experimental results show that the proposed approach can significantly maximize the lifetime of the wireless sensor network. View Full-Text
Keywords: mobile charger; network size; moving path; optimization problem; wireless energy transfer; wireless sensor network mobile charger; network size; moving path; optimization problem; wireless energy transfer; wireless sensor network
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Tu, W.; Xu, X.; Ye, T.; Cheng, Z. A Study on Wireless Charging for Prolonging the Lifetime of Wireless Sensor Networks. Sensors 2017, 17, 1560.

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