Collaborative Energy Optimization of Multiple Chargers Based on Node Collaborative Scheduling

Wireless rechargeable sensor network (WRSN) uses mobile chargers (MCs) to charge nodes wirelessly solve the energy problems faced by traditional wireless network. In WRSN, charging schemes with multiple MCs supplementing are quite common. How properly plan MC’s moving path reduce loss and deploy improve coverage rate has become a huge research challenge. this paper, collaborative optimization algorithm (CEOA) is proposed for based on k-mean++ node scheduling. The CEOA combines internal external device power supply, effectively prolongs lifetime, improves rate. It cluster in network; then, scheduled sleep confident information (CIC) model. Finally, main charger carry auxiliary all cluster. Simulation results show that increases lifetime more than 8 times about 20%.