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An Energy Sensing Clustering Algorithm in Rechargeable Wireless Sensor Network

Clustering algorithm in rechargeable wireless sensor network (RWSN) is critical before developing a charging strategy. To improve the charging efficiency, reduce the total charging time and energy consumption, this paper proposes an Energy Sensing Clustering Algorithm (ESCA) considering of location and residual energy information of nodes simultaneously. The concept of the hybrid center to calculate the Wireless Charging Vehicle (WCV) charging location is introduced to completes the clustering iteration with the improved k-means. The simulation results show that ESCA performs better in WCV total charging time and charging efficiency.