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Collaborative Charging Scheduling in Wireless Charging Sensor Networks

Qiuyang Wang, Zhen Xu*, Lei Yang

School of Electrical and Electronic Engineering, Wuhan Polytechnic University, Wuhan, 430048, China

* Corresponding Author: Zhen Xu. Email: email

Computers, Materials & Continua 2024, 79(1), 1613-1630.


Wireless sensor networks (WSNs) have the trouble of limited battery power, and wireless charging provides a promising solution to this problem, which is not easily affected by the external environment. In this paper, we study the recharging of sensors in wireless rechargeable sensor networks (WRSNs) by scheduling two mobile chargers (MCs) to collaboratively charge sensors. We first formulate a novel sensor charging scheduling problem with the objective of maximizing the number of surviving sensors, and further propose a collaborative charging scheduling algorithm (CCSA) for WRSNs. In the scheme, the sensors are divided into important sensors and ordinary sensors. Two MCs can adaptively collaboratively charge the sensors based on the energy limit of MCs and the energy demand of sensors. Finally, we conducted comparative simulations. The simulation results show that the proposed algorithm can effectively reduce the death rate of the sensor. The proposed algorithm provides a solution to the uncertainty of node charging tasks and the collaborative challenges posed by multiple MCs in practical scenarios.


Cite This Article

APA Style
Wang, Q., Xu, Z., Yang, L. (2024). Collaborative charging scheduling in wireless charging sensor networks. Computers, Materials & Continua, 79(1), 1613-1630.
Vancouver Style
Wang Q, Xu Z, Yang L. Collaborative charging scheduling in wireless charging sensor networks. Comput Mater Contin. 2024;79(1):1613-1630
IEEE Style
Q. Wang, Z. Xu, and L. Yang "Collaborative Charging Scheduling in Wireless Charging Sensor Networks," Comput. Mater. Contin., vol. 79, no. 1, pp. 1613-1630. 2024.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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