Title: Obstacles avoidance charging schedule for multiple mobile charging vehicles in wireless rechargeable sensor networks

Authors: Sk Md Abidar Rahaman; Md Azharuddin; Pratyay Kuila

Addresses: Department of Computer Science and Engineering, Aliah University, Kolkata, 700156, India ' Department of Computer Science and Engineering, Aliah University, Kolkata, 700156, India ' Department of Computer Science and Engineering, National Institute of Technology, Sikkim, 737139, India

Abstract: The integration of wireless power transfer technology into mobile charging vehicles (MCVs) opens up new possibilities for wirelessly recharging the batteries of sensor nodes (SNs). Thereby, it extends the lifespan of wireless rechargeable sensor networks (WRSNs). However, devising optimal charging schedules with MCVs is challenging, especially with obstacles. In this paper, we introduce an approach to enhance the efficiency of charging operations within WRSNs. The proposed method considers several key factors, such as charging requirements, the presence of multiple MCVs, and the challenges posed by obstacles. Our strategy determines charging sequences based on collective charging preferences. The allocation of charging partitions is facilitated by clustering, leveraging the locations and energy consumption rates of SNs with each MCV in a partition. Furthermore, we employ an obstacle avoidance algorithm to address scheduling issues when obstacles are encountered. Extensive simulations are conducted to validate the proposed methodology.

Keywords: WRSNs; wireless rechargeable sensor networks; charging scheduling; MCVs; mobile charging vehicles; obstacles.

DOI: 10.1504/IJCNDS.2026.150924

International Journal of Communication Networks and Distributed Systems, 2026 Vol.32 No.1, pp.88 - 117

Received: 22 Jun 2024
Accepted: 20 Mar 2025
Published online: 05 Jan 2026 *

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