A Mobile Charging Scheduling Scheme with Obstacle Avoidance in Wireless Rechargeable Sensor Networks

• Published in: 2024 36th Chinese Control and Decision Conference (CCDC) pp. 5657 - 5662
• Main Authors: Liu, Yuna, Cai, Bin, Li, Xiaohui, Zhang, Zhen, Chen, Yongfeng, Hu, Jia
• Format: Conference Proceeding
• Language: English
• Published: IEEE 25.05.2024
• Subjects: charging path planning; Collision avoidance; energy budget; Inductive charging; obstacle avoidance; Simulation; Task analysis; task node selection; Wireless communication; wireless rechargeable sensor networks; Wireless sensor networks
• DOI: 10.1109/CCDC62350.2024.10588136

Wireless rechargeable sensor networks have attracted wide attention in recent years due to the energy supply for sensor nodes. However, most of the previous works study wireless charging schemes take no account of practical conditions such as obstacles in the network area, which will increase the node failure rate. Therefore, a mobile charging scheduling scheme with obstacle avoidance is proposed in this paper. First, a task node selection algorithm is designed to fully utilize the energy budget for wireless charging. Then, a globally optimal charging path with obstacle avoidance is planned. Simulation results show that the obstacle avoidance function is realized and the proposed charging scheme effectively reduces the node failure rate by comparison.