A Type of Recharging Scheduling Strategy based on Adjustable Request Threshold in WRSNs

In order to utilize the advantages of the “Periodic Energy Replenishing” as well as the “Request Triggered Recharging” methods in Wireless Rechargeable Sensor Networks, a type of Recharging Scheduling Strategy based on Adjustable Request Threshold (RSS-ART) is proposed in this paper. The Double Recharging Request Thresholds (DRRTs) are set for each node to let them send out their requests in advance or later. In this way, the MCV is more likely to recharge nodes in urgent need of energy replenishment which enhances its energy efficiency. Moreover, to maximize the surviving rate of nodes and to balance the number of requests in each time period, we limit the traverse duration of each round for the MCV. Finally, the departure time of each round of traversal is calculated out with the help of the number of two kinds of requests (WRR and DRR) which enhances the flexibility for MCV to perform charging tasks. Experiments show that RSS-ART outperforms the compared methods in term of the surviving rate and energy efficiency of MCV with different network scales.