Improving the Lifetime of Wireless Rechargeable Sensors Using Mobile Charger in On-Demand Charging Environment Based on Energy Consumption Rate Prediction

Wireless rechargeable sensor network (WRSN) is gaining a significant place in the current research field due to its wide range of applications including in the field of Internet of Things (IoT). The sensors in WRSN will soon deplete their energy due to their limited battery capacity. The wireless charging (WC) is one of the prominent methods for enhancing the sensors lifetime in wireless rechargeable sensor networks. In WC, with the help of mobile charger (MC), we can steadily provide energy to sensors using electromagnetic signals. However, the promising issue in this area is scheduling MC efficiently for charging the sensors so that the network is up to its maximum time. This article contributes to addressing the above-mentioned problem, by proposing an efficient way of scheduling the MC with the help of sensor’s Energy Consumption Rate Prediction. From our experimental results, it can be observed that the proposed method has a given good survival rate of sensors compared with the existing methods like FCFS and NJN without preemption.