Enhancing Wireless Sensor Durability via On-Demand Mobile Charging and Energy Estimation

Abstract

In wireless rechargeable sensor networks (WRSN), wireless energy charging (WEC) is a potential approach to extend sensor lifetime. To continuously provide electric charge to sensors, WEC uses a mobile charger (MC). All things considered, creating a charging plan that works for the MC is difficult because it depends on various aspects such the amount of energy left, the location of the limitations, and the time of day. The purpose of this work is to offer a novel and efficient charging process to extend the life of sensors in WRSN. According to this algorithm, the sensors periodically transmit to the service station (SS) the energy spending rate and their remaining energy. The SS estimates how long the sensors will last, and if it falls below a predetermined level, that sensor is taken into consideration for charging and is placed in a serving queue. After that, the SS schedules MC using a suggested priority function. Comparing the suggested method to baseline charging techniques, simulation experiments show that it performs better in terms of charging, especially in terms of prolonging the lifetime of sensors. The experimental results demonstrate that the suggested method outperforms the state-of-the-art approaches, in achieving a superior average dead period for sensors.