Intelligent Power Charging Strategy in Wireless Rechargeable Sensor Network

This paper focuses on charging planning problem in the indoor environment through wireless rechargeable technology to extend the lifetime of Wireless Sensor Networks (WSN). This study proposes a novel charging method that the directional antenna and motor can combine to extend the charging coverage area, and it will be set on the ceiling to reduce interference from the obstacle. Finally, we proposed an intelligent power charging strategy method to design the charging schedule. Simulation result represents that the proposed machine-learning-based method is useful in charging scheduling problem and enhances the lifetime of WSN and stability of the Internet of Things (IoT).