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基于锚节点间距离的改进RSSI测距方法
引用本文:徐福成,陈子春,魏艳艳. 基于锚节点间距离的改进RSSI测距方法[J]. 西华大学学报(自然科学版), 2014, 0(4): 11-14,28
作者姓名:徐福成  陈子春  魏艳艳
作者单位:西华大学数学与计算机学院
基金项目:西华大学网络智能信息处理重点实验室开放研究基金(SZJJ2012-026);西华大学无线电信号智能处理重点实验室基金(XZD0818-09)
摘    要:节点定位是无线传感网络的核心支撑技术之一。为提高接收信号强度指示(RSSI)法的定位精度、消除路径散逸指数,提出一种基于锚节点的模糊C-均值(FCM)校正算法。该算法利用FCM模型对非敏感区的RSSI数据进行处理,筛选出RSSI较优值,并将已知2个锚节点之间的距离与测量得到的RSSI值作为参考,校正被测RSSI值对应的距离,消除路径散逸指数。仿真结果表明,该算法比统计均值模型具有更好的估计精度。

关 键 词:无线传感器网络  FCM算法模型  接收信号强度指标测距  路径散逸指数  RSSI测距

An Improved RSSI Ranging Algorithm Based on Distance Between Anchor Nodes
XU Fu-cheng;CHEN Zi-chun;WEI Yan-yan. An Improved RSSI Ranging Algorithm Based on Distance Between Anchor Nodes[J]. Journal of Xihua University(Natural Science Edition), 2014, 0(4): 11-14,28
Authors:XU Fu-cheng  CHEN Zi-chun  WEI Yan-yan
Affiliation:XU Fu-cheng;CHEN Zi-chun;WEI Yan-yan;School of Mathematics and Computer Engineering,Xihua University;
Abstract:The node localization is one of the core support technology based on RSSI (received signal strength indicator) of WSN ( wireless sensor network). In the actual application environment, because of multi-path,diffraction, obstacles and other factors, RSSI in the positioning process will produce distance error . An improved FCM algorithm based on anchor nodes is brought up, mainly taking account of the measurement precision and eliminate path dispersion index. This algorithm uses FCM model to deal with the RSSI which is obtained in sensitive region and the first-class RSSI is screened out. In this algorithm, it uses the known distance and measured RSSI between anchor nodes to correct the distance by being measured RSSI value, and eliminates path dispersion index. Simulation results show that this algorithm has a better estimation accuracy than classical RSSI algorithm.
Keywords:wireless sensor network  FCM model  distance measure based on RSSI  path dispersion index  distance measurement tbased on RSSI
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