一种改进的无线传感器网络加权质心定位算法  

An Improved Wireless Sensor Network Weighted Centroid Localization Algorithm

作　　者：吕振[1] 赵鹏飞[1] 

机构地区：[1]辽宁工程技术大学电气与控制工程学院,辽宁葫芦岛125105

出　　处：《计算机测量与控制》2013年第4期1102-1104,共3页Computer Measurement &Control

摘　　要：针对无线传感器网络(WSN)定位问题提出了一种改进的基于RSSI的加权质心定位算法,这种算法利用了信标节点与未知节点之间距离的倒数之和作为信标节点的权值,充分利用RSSI数据,避免信息的淹没,来实现对未知节点的定位;由于RSSI值很容易受到外界环境因素的影响,会对定位计算的结果产生影响,所以文中对RSSI值进行了修正,来提高数据的可靠性,从而提高定位结果的精确度;通过MATLAB仿真实验分析改进后的定位算法能够在一定程度上有效地提高系统的定位精度。Aiming at the wireless sensor network （WSN） positioning problem in this paper proposes an improved RSSI based on weighted eentroid localization algorithm, this algorithm using the beacon nodes and unknown nodes of the distance between the sum of reciprocal as a beacon nodes metric, make full use of RSSI data, avoid information drowned, to realize the orientation of the unknown nodes. Because RSSI value vulnerable to external environment factors, will be in the location of the calculation of the consequences, so this paper RSSI value was revised, to improve the reliability of data, so as to improve the positioning the accuracy of the results. Through the MATLAB simulation ex-perimental analysis of the improved algorithm can position in a certain extent effectively improve the accuracy of the system.

关 键 词：WSN RSSI 加权质心定位 MATLAB 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]