Title: Route selection strategy with minimised mobile charger in wireless rechargeable sensor networks

Authors: Cong-Xiang Wang; Chih-Min Chao

Addresses: Computer Science and Engineering, National Taiwan Ocean University, Zhongzheng District, Keelung, Taiwan ' Computer Science and Engineering, National Taiwan Ocean University, Zhongzheng District, Keelung, Taiwan

Abstract: How to design an efficient route for a mobile charger is an important issue in Rechargeable Sensor Networks (WRSNs). Mobile Chargers are costly and may consume a lot of time to reach and charge sensor nodes. Existing route planning algorithms either fail to minimise the number of mobile chargers or do not consider the actual traffic conditions. In this paper, we propose a Hybrid-Clustering-Minimum-Mobile-charger route planning algorithm (HCMM) for WRSNs. The charging route selected by the HCMM protocol prolongs the network lifetime by using a minimum number of mobile chargers. Simulation results verify that the charging efficiency achieved by HCMM is better than that of the m-MTS protocol which is currently the best charging route planning protocol for dispatching the least number of mobile chargers.

Keywords: wireless charging; mobile charger; wireless rechargeable sensor networks; route planning.

DOI: 10.1504/IJVICS.2023.135071

International Journal of Vehicle Information and Communication Systems, 2023 Vol.8 No.4, pp.330 - 344

Received: 15 Jul 2021
Accepted: 06 Dec 2021
Published online: 30 Nov 2023 *

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