无线传感器网络自校正定位算法  

Self-calibration Location Algorithm Based on Wireless Sensor Networks

作　　者：余成波[1] 张一萌[1] 李洪兵[1,2] 张进[1] 

机构地区：[1]重庆理工大学远程测试与控制技术研究所,重庆400054 [2]重庆三峡学院电子与信息工程学院,重庆404000

出　　处：《振动．测试与诊断》2012年第1期6-10,157,共5页Journal of Vibration,Measurement & Diagnosis

基　　金：重庆市科技攻关基金资助项目(编号:CSTC2011AC2179);重庆市经济与信息化委员会基金资助项目(编号:渝经信科技[2010]9号);重庆市九龙坡区科委项目(编号:九龙坡科委发[2009]52号)

摘　　要：节点定位是无线传感器网络的重要应用之一,为了抑制实际应用中各种环境因素对无线传感器节点精度的影响,提出了一种基于误差校正的定位算法。通过基于粒子群优化算法的粒子群优化-接收信号强度指示算法(par-ticle swarm optimization-received signal strength indication,简称PSO-RSSI算法)将未知节点收到信标节点一定数量的存在偏差的链路质量指示值进行优化,实现对误差的补偿。将链路质量指示值转化为接收信号强度指示值,从而得到距离。实验结果表明,该算法可提高定位精度,具有普遍应用价值。Localization of nodes is an important application of wireless sensor networks.In order to restrain the influence from manifold environment factors that existed in practical application to WSN node positioning accuracy,a location algorithm based on error correction is presented.The particle swarm optimization-received signal strength indication(PSO-RSSI) based on particle swarm optimization(PSO) is used to optimize a number of link quality indication(LQI)(exist some deviation) that unknown node receives from sink node.Then LQI is transformed to RSSI to get distance.The result of the experiment shows that this algorithm can improve positioning accuracy and it has general application significance.

关 键 词：无线传感器网络 定位 粒子群优化 粒子群优化-接收信号强度指示算法(PSO-PSSI算法) 

分 类 号：TP393[自动化与计算机技术—计算机应用技术] TP212[自动化与计算机技术—计算机科学与技术]