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多节点协作迭代求精的WSNs加权质心定位算法
引用本文:田丰,张亚娟,王传云.多节点协作迭代求精的WSNs加权质心定位算法[J].计算机工程与设计,2010,31(8).
作者姓名:田丰  张亚娟  王传云
作者单位:沈阳航空工业学院,计算机学院,辽宁,沈阳,110136
基金项目:辽宁省自然科学基金,沈阳市科学技术计划 
摘    要:为解决无线传感器网络中质心算法对锚节点密度要求较高和定位精度过度依赖锚节点分布的问题,提出了一种多节点协作迭代求精的WSNs加权质心定位算法.该算法采用加权质心估算初始坐标,以请求二跳锚节点的方式增加可用锚节点,由锚节点以多边测距方式估算待定位节点的实际坐标与估算坐标的差值,迭代调整估算坐标,提高定位精度.实验结果表明,与普通加权质心算法相比较,该算法具有更高的定位精度和定位覆盖度.

关 键 词:无线传感器网络  定位算法  加权质心  迭代求精  差值计算

Weighted-centroid localization algorithm with iterative refinement by multi-nodes collaboration in WSNs
TIAN Feng,ZHANG Ya-juan,WANG Chuan-yun.Weighted-centroid localization algorithm with iterative refinement by multi-nodes collaboration in WSNs[J].Computer Engineering and Design,2010,31(8).
Authors:TIAN Feng  ZHANG Ya-juan  WANG Chuan-yun
Affiliation:TIAN Feng,ZHANG Ya-juan,WANG Chuan-yun (School of Computer Science,Shenyang Institute of Aeronautical Engineering,Shenyang 110136,China)
Abstract:To solve the problem of requiring high density of anchor nodes, and the positioning accuracy over depending on the distribution of anchor nodes in centroid algorithm, a WCLAIR (weighted-centroid localization algorithm with iterative refinement by multi-nodes collaboration) localization algorithm in WSNs is proposed. In this algorithm, weighted-centroid algorithm is used to initialize the node coordinates by requesting 2-hop anchor nodes to increase available anchor nodes, and in order to improve the positio...
Keywords:WSNs  localization algorithm  weighted-centroid  iterative refinement  deviation calculation
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