计算机工程与应用Issue(16)：103-108,6.DOI:10.3778/j.issn.1002-8331.1407-0618
基于UKF-RSS在线建模的WSN节点跟踪定位算法
摘要
Abstract
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 environ-ment. 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Key words
Unscented Kalmal Filter(UKF)/Received Signal Strength(RSS)/anchor node/online modeling/life cycle分类
信息技术与安全科学引用本文复制引用
申剑飞,杨秋芬,桂卫华,胡豁生..基于UKF-RSS在线建模的WSN节点跟踪定位算法[J].计算机工程与应用,2015,(16):103-108,6.基金项目
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）。 （）
