基于高斯修正测距模型的节点改进加权质心定位算法设计  

Design for Improved Weighted Centroid Localization Algorism Based on Gaussian Correction Ranging Model for Sensor Node

作　　者：朱玲玲[1] 程学云[1] 魏晓宁[1] 

机构地区：[1]南通大学计算机科学与技术学院,江苏南通226019

出　　处：《计算机测量与控制》2012年第11期3089-3091,3097,共4页Computer Measurement &Control

基　　金：南通大学自然科学基金(03040850)

摘　　要：针对无线传感器网络中传统的质心定位算法具有定位精度不高的缺点,提出了一种基于RSSI测距的改进加权质心定位算法。首先,分析了无线电传播路径损耗模型,采用高斯模型对RSSI信号强度值进行了修正,从而可以根据修正后的RSSI均值更准确地进行测距;然后,使用改进的Eucliean定位法对节点位置进行初定位,在获得若干组定位锚节点集的基础上,采用改进的加权质心定位算法进行节点位置终定位;最后对基于RSSI测距修正的加权质心定位算法进行了定义和描述。仿真实验表明,文中方法在仅增加计算开销的情况下能实现节点的准确定位,且与其它方法相比,具有较小的测距误差和定位误差。Aiming at the traditional centroid localization algorism having the defect of low localization accuracy, an improved weighted centroid localization algorism was proposed. Firstly, the radio propagation path loss model was analyzed, and the Gaussian model was used to correct the RSSI value, therefore, the more accurate distance can be obtained. Then the improved Eucliean localization method was used to localize the node firstly, and after several anchor set were got, the improved weighted centroid localization algorism localized the node lastly. Finally, the algorism for localizing node based on RSSI ranging was defined and described. The simulation experiment shows the method in this paper can accurately localize the node, and compared with the other methods, having the less ranging and localization error.

关 键 词：无线传感器网 RSSI测距 传感器节点 定位 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]