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无线传感器网络节点定位加权校正模型
引用本文:党小超,李小艳.无线传感器网络节点定位加权校正模型[J].计算机应用,2012,32(2):355-358.
作者姓名:党小超  李小艳
作者单位:1. 西北师范大学 网络教育学院,兰州 7300702. 西北师范大学 数学与信息科学学院,兰州 730070
基金项目:甘肃省科技支撑计划项目(090GKCA075)
摘    要:为了降低定位算法本身和接收信号强度指示(RSSI)所产生的误差对定位精度的影响,在以往的定位算法(如利用高斯—马尔可夫模型定位)中加入校正机制,并将移动锚节点和固定锚节点定位技术相结合,提出了一种基于加权的校正模型和算法。仿真结果表明,采用加权校正模型有效地提高了节点定位精度,与采用高斯—马尔可夫模型定位相比较,定位精度提高了36.2%。

关 键 词:无线传感器网络    高斯—马尔可夫模型    加权校正    节点定位    接收信号强度指示
收稿时间:2011-08-01
修稿时间:2011-09-27

Weighted correction model in wireless sensor network localization
DANG Xiao-chao,LI Xiao-yan.Weighted correction model in wireless sensor network localization[J].journal of Computer Applications,2012,32(2):355-358.
Authors:DANG Xiao-chao  LI Xiao-yan
Affiliation:1. College of Network Education, Northwest Normal University, Lanzhou Gansu 730070,China2. College of Mathematics and Information Science, Northwest Normal University, Lanzhou Gansu 730070,China
Abstract:In order to reduce the influence of positioning accuracy casued by the issue of localization algorithm itself and the Received Signal Strength Indicator(RSSI),through introducing the correction mechanism in the previous localization algorithm,such as Gauss-Markov mobility model,and combining the technology of mobile anchor with fixed anchor,a new method was proposed based on weighted correction model.The simulation results show that the precision of node localization is effectively improved,meanwhile,compared with the Gauss-Markov mobility model,the positioning accuracy of the proposed method increases by 36.2%.
Keywords:Wireless Sensor Network(WSN)  Gauss-Markov model  weighted adjustment  node localization  Received Signal Strength Indicator(RSSI)
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