基于UKF-RSS在线建模的WSN节点跟踪定位算法  

UKF-RSS online modeling based WSN location tracking algorithm

作　　者：申剑飞[1] 杨秋芬[2,3] 桂卫华[2] 胡豁生[2] 

机构地区：[1]湖南大众传媒职业技术学院电广传媒系,长沙410100 [2]中南大学信息科学与工程学院,长沙410083 [3]湖南广播电视大学理工教学部,长沙410004

出　　处：《计算机工程与应用》2015年第16期103-108,共6页Computer Engineering and Applications

基　　金：湖南省职业院校教育教学改革研究项目2012年立项课题(No.ZJB2012007);湖南省科技厅资助项目(No.2012GK3096);湖南省教育厅资助项目(No.12C1158);湖南省十二五规划课题(No.XJK013BXX006)

摘　　要：在传感器网络中(WSN)锚节点负责接收GPS定位信号,但其使用寿命受能量约束,为了提高传感器网络的生存周期和定位精度,提出基于无迹Calman滤波(UKF)和传感器网络锚节点RSS在线建模的WSN定位算法,实现高效资源管理和利用方式。该算法主要包括位置预测和目标定位两个步骤,利用UKF算法对目标节点的下一位置进行预测,选择开启距离预测位置最近的几个锚节点,关闭无用锚节点,有效降低网络能耗。利用锚节点之间相互信号强弱基于RSS对开启锚节点周围的距离与RSS信号强弱关系进行建模,降低RSS算法对环境的依赖度。实验结果表明该算法能够有效对锚节点的开启/睡眠进行管理,并可降低环境依赖性,从而实现负载均衡降低能耗和提高定位精度的效果。In WSN anchor node is responsible for receiving GPS signal,but its life is energy constrained.In order to improve the life cycle and the positioning accuracy of sensor networks,UKF-RSS online modeling based WSN location tracking algorithm is proposed,to achieve efficient resource management and use patterns.The algorithm mainly includes target prediction and target location.The UKF algorithm is used to predict the next location of the target node,and select the last few anchor nodes of the prediction position,close the useless anchor node,which effectively reduce the energy consumption of the network.Then it uses the anchor node between the signal intensity of RSS modeling of the distance from the RSS signal strength between open around the anchor nodes based on RSS algorithm,which reduces dependence on the environment.The experimental results show that the algorithm can effectively manage the anchor node open/sleep,and can reduce the environmental dependence,so as to achieve load balance and reduce energy consumption and improve the positioning precision effect.

关 键 词：无迹卡尔曼滤波 接收信号强度(RSS) 锚节点 在线建模 生存周期 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]