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基于 RSSI 修正的近似三角形加权质心定位算法

童莉 周鸣争

安徽工程大学学报Issue(4):62-66,5.
安徽工程大学学报Issue(4):62-66,5.

基于 RSSI 修正的近似三角形加权质心定位算法

Triangular weighted centroid localization algorithm based on RSSI amend

童莉 1周鸣争1

作者信息

  • 1. 安徽工程大学 计算机与信息学院,安徽 芜湖 241000
  • 折叠

摘要

Abstract

In wireless sensor networks,the node localization is one of the core technologies,which has a wide promising application.Because the error of measurement is relatively large in the node localization algorithm based on RSSI distance measurement,a new approximate triangular weighted centroid localiza-tion algorithm based on RSSI correction is proposed.The algorithm according to the RSSI ranging is easi-ly interfered by the environment,so the paper applies Gauss fitting and mean value to the ranging data, and regards it as the node of RSSI measure-ment value.Based on this,sorting algorithm is used to sort the ranging results,and then the authors preferred beacon node to triangle point test.Finally,weighted centroid localization algorithm is used to determine the coordinates of the unknown nodes.The simulation results show that the improved algorithm enhances the localization accuracy of the nodes.

关键词

无线传感器网络/节点定位/RSSI 测距/高斯拟合/加权

Key words

wireless sensor networks/node localization/RSSI distance/Gauss fitting/weighting

分类

信息技术与安全科学

引用本文复制引用

童莉,周鸣争..基于 RSSI 修正的近似三角形加权质心定位算法[J].安徽工程大学学报,2015,(4):62-66,5.

基金项目

童莉(1982-),女,安徽宁国人,硕士研究生. (1982-)

安徽工程大学学报

2095-0977

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