无线可充电传感器网络自适应充电策略  

Adaptive charging strategy for wireless rechargeable sensor networks

作　　者：王秋阳 徐震 WANG Qiuyang;XU Zhen(School of Electrical and Electronic Engineering,Wuhan Polytechnic University,Wuhan 430048,China)

机构地区：[1]武汉轻工大学电气与电子工程学院,武汉430048

出　　处：《武汉轻工大学学报》2024年第1期68-76,共9页Journal of Wuhan Polytechnic University

基　　金：国家自然科学基金资助项目(编号:61373091);湖北省自然科学基金项目(编号:2017CKB893).

摘　　要：在无线可充电传感器网络中,充电调度的合理安排是保证网络节点存活率的关键。针对这个问题,基于分簇型无线传感器网络,将节点分为重要节点和普通节点,由两台移动充电设备实时按需协同进行能量补充。基于移动充电设备的当前能量提出了自适应充电策略,在充电请求数量过多时依据节点的能量需求紧迫程度调整充电方法。仿真实验结果表明,相比于其他调度方案,所提出的算法在存活节点数、总剩余能量、移动损耗比和首个死亡节点出现时间四个方面都具有较优的表现。该算法为实际应用场景中节点充电任务的不确定性和多个充电设备协同问题提供了解决方案,在一定程度上延长了网络寿命。In wireless rechargeable sensor networks,the reasonable arrangement of charging scheduling is the key to ensuring the survival rate of network nodes.To solve this problem,the paper was based on a clustered wireless sensor network,dividing nodes into important nodes and ordinary nodes,which were charged by two mobile charging equipments(WCEs)collaborate in real-time on demand.Based on the current energy of mobile charging equipment,an adaptive charging strategy was proposed to adjust the charging method according to the urgency of the node's energy demand when there were too many charging requests.The simulation results show that the proposed algorithm performs better than other scheduling schemes in terms of the number of surviving nodes,total residual energy,mobile loss ratio and the occurrence time of the first dead node.This algorithm provides a solution for the uncertainty of charging tasks and the collaborative problem of multiple charging equipment in practical application scenarios,which extends the life of the network to a certain extent.

关 键 词：无线传感器网络 移动充电设备 充电量 网络寿命 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]