现代电子技术2024，Vol.47Issue(1)：30-35,6.DOI:10.16652/j.issn.1004-373x.2024.01.006
基于策略梯度的WRSN公平能量补充方案
WRSN fair energy supplement scheme based on policy gradient
叶健锋1
作者信息
- 1. 昆明理工大学, 云南 昆明 650500
- 折叠
摘要
Abstract
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.关键词
无线可充电传感网络/充电调度/响应公平/注意力机制/seq2seq/强化学习/策略梯度/失效率Key words
WRSN/charging scheduling/responsive fairness/attention mechanism/seq2seq/reinforcement learning/policy gradient/failure rate分类
电子信息工程引用本文复制引用
叶健锋..基于策略梯度的WRSN公平能量补充方案[J].现代电子技术,2024,47(1):30-35,6.
