基于RSSI的循环求精算法改进颜嘉俊,雷勇(四川大学电气信息学院,四川成都610065)摘要:基于Zigbee技术的无线传感器网络在各个领域受到了广泛关注,对无线网络中未知节点的定位更是成为热门话题。传统的未知节点定位法是基于RSSI的三边测量,或是Two-phasepositioning循环求精定位。本文提出一种基于RSSI的循环求精最小二乘估计定位算法改进,在传统的循环求精算法基础上,引入节点的权值,舍去在权值阀外的点,在求精阶段采用三角形加权重心算法。最大限度的减少了测量误差大的节点对定位的影响,减少了测量误差。通过仿真证明这种算法也存在一定的误差,但比传统的算法更加精确。关键词:无线传感器;权值阀;加权重心;定位中图分类号:TP文献标识码:AImprovedalgorithmofthecycleof refinement basedonRSSIYANJia-jun,LEIYong(InstituteofElectricalEngineeringandInformation,SichuanUniversity,Chengdu610065,China)ABSTRACT:Zigbee-worktechnologyattractedwidespreadattentioninvariousfields,unknownnodeslocationmeasurement inthe work eahot topic. ThetraditionalmethodabouttheunknownnodeslocationmeasurementisbasedonRSSI,orTwo- refinement basedonRSSIlocationalgorithmfor cycleof refinement algorithm,anddiscardthenodewhosevalue ofweightisoutsidetheminimumweight, theinfluencewhichwasbroughtbythenodeswhosemeasurementerrorwere large. Simulationresultsshow thaterrorsexistbyusingthisalgorithm ,but urate thantraditional :wirelesssensor,valveofweight,weightedcenterofgravity,location1引言近年来,无线传感器网络越来越多的进入了人们的生活。无线传感器网络WSN(work)是一种新型的任务型的网络,它和有线网络类似,通过节点与节点间的路由算法,实现数据传输。它的
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