基于策略梯度的WRSN公平能量补充方案OACSTPCD

The energy consumption of nodes in wireless rechargeable sensor network(WRSN)changes dynamically.It is important to estimate the real-time energy consumption of a node and calculate the node remaining life time when the mobile charger(MC)is scheduled to charge the sensor.In view of this,a policy gradient based fair energy supplement scheme(PFSS)is proposed.Past node energy records are used to estimate real-time node energy consumption.The seq2seq and Attention network structure are used to solve the sequence to be charged.Charging a node will obtain a charging weight to evaluate the quality of the charge,which is composed of the distance between MC and node,node waiting time and node remaining life time.The strategy gradient is used to train the network,so as to obtain the charging sequence approximate solution with the optimal charging quality.The simulation results show that,in comparison with the existing algorithms,PFSS can effectively reduce the number of sensor node failures in the network,the mobile cost of MC and the charging delay.