Nodes Location Method Based on Correlation Analysis in WSN

Hengliang Tang, Yanfeng Sun, Jie Zhu, Mingru Zhao
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Abstract

Automatic nodes location is a key supporting technology in WSN, and gains much more attention with the development of the modern network technology and wireless communication technology. In this paper, a novel locating method based on correlation analysis is presented. First, in order to get the accurate and valid data, the normalization procedure is applied on the original wireless information. Then, the statistical histogram, which can decrease the dimension and weaken the effect of abnormal values for the normalized data, is adopted to summarize the detailed information and to represent the signal information. Finally, a novel nodes location method based on correlation analysis is proposed to evaluate the positions of the unknown nodes. The experiments tested on the public Intel Lab Data demonstrate the feasibility and validity of the proposed locating method for WSN.
基于相关性分析的WSN节点定位方法
节点自动定位是无线传感器网络的关键支撑技术,随着现代网络技术和无线通信技术的发展,越来越受到人们的重视。本文提出了一种基于相关分析的定位方法。首先,为了得到准确有效的数据,对原始无线信息进行归一化处理。然后,采用统计直方图对归一化后的数据进行降维处理,减弱异常值的影响,总结出细节信息,表示信号信息;最后,提出了一种新的基于关联分析的节点定位方法来评估未知节点的位置。在Intel实验室公开数据上的实验验证了该定位方法在无线传感器网络中的可行性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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