森林火灾监测传感网能量收集优化技术  

Energy Harvesting Technology in Forest Fire Monitoring Sensor Networks

作　　者：王艳丽[1] WANG Yanli(College of Network Security and Information Technology,Weinan Normal University, Weinan 714000, Shaanxi China)

机构地区：[1]渭南师范学院网络安全与信息化学院,陕西渭南714000

出　　处：《河南科学》2018年第9期1343-1347,共5页Henan Science

基　　金：国家自然科学基金(61172071);陕西省工业攻关项目(2017GY-204);渭南师范学院教学改革研究项目(JG201718);渭南市科技计划项目(2017JCYJ-2-2)

摘　　要：建立基于MIMO的传感器网络森林火灾监测系统.针对无线传感器网络(WSN)能量严格受限和节点间能量均衡的问题,引入能量收集技术,完善采用无线信息和功率同时传输(SWIPT)技术的系统模型.仿真分析和原型实验结果表明,MIMO有效降低了能耗;能量效率随发射功率额度的增加而迅速增加,当达到3 dBm时趋向平稳;能量收集方案使节点接收端保留了较多剩余能量,并且节点间剩余能量较为均衡.Multiple sensor nodes with single antenna form multiple-input multiple-output（MIMO）system,the forestfire warning system is established based on MIMO transmission. In order to prolong the lifetime of energy-constrainedwireless sensor network and balance the energy between the nodes,the Energy Harvesting（EH）is proposed on thesystem,and the system is optimized by the emerging simultaneously wireless information and power transfer（SWIPT）technology;Simulation and prototype results show that MIMO can obtain lower energy consumption compared withsingle input single output,and the energy efficiency quickly increases with emitted energy increasing and keeps stablewhen the maximum transmit power allowance is 3 dBm,meanwhile,the EH makes more remaining energy in theirbatteries,and the remaining energy among sensor nodes is more balanced.

关 键 词：无线传感器网络 MIMO 能量收集 能耗 剩余能量 

分 类 号：TP339.9[自动化与计算机技术—计算机系统结构] TN929[自动化与计算机技术—计算机科学与技术]