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WSN中基于RSSI的加权质心定位算法的改进
引用本文:于慧霞.WSN中基于RSSI的加权质心定位算法的改进[J].电子测试,2012(1):28-32.
作者姓名:于慧霞
作者单位:南京邮电大学,南京,210046
摘    要:自身节点定位是无线传感器网络的关键技术之一。本文对距离无关定位算法中的质心定位算法进行了分析,在基于RSSI的质心定位算法的基础上提出了一种新的校正RSSI测距值的加权定位算法。测距阶段将信标节点之间的距离和信号强度信息同时考虑在内进行RSSI值校正,权值选择阶段采用了修正传统权重的计算方法,权值取距离倒数之和。通过仿真证明,本文提出的算法相对于传统的加权质心定位算法有明显改进,获得较好的定位精度。

关 键 词:无线传感器网络  加权质心  权值修正  RSSI测距

Weighted centroid localization algorithm with weight corrected based on RSSI for wireless sensor network
Yu Huixia.Weighted centroid localization algorithm with weight corrected based on RSSI for wireless sensor network[J].Electronic Test,2012(1):28-32.
Authors:Yu Huixia
Affiliation:Yu Huixia(Nanjing University of Posts and Telecommunications,Nanjing,210046,China)
Abstract:This paper proposes an improved weighted centroid localization algorithm.In distance measurement stage,this algorithm considered the the distance and RSSI between beacon nodes and corrected the value of distance measurement.In the weight selection phase,the sum of the reciprocal of each measured distance will be taken as the weight.The simulation result shows that the improved algorithm can provide a more precise location compared with former method.
Keywords:wireless sensor networks  weighted centroid localization  weight corrected  RSSI
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