基于rsi的无线传感器网络三维定位优化算法

Yuxuan Xie
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引用次数: 1

摘要

对于传感器网络在三维空间中的应用,数据传输的主要方法是通过寻找空间坐标位置来传输数据,节点定位是无线传感器网络的关键因素之一。本文在传统RSSI算法的基础上,提出了一种精度更高的质心定位改进算法。在三维空间中,寻找未知节点坐标的问题是基于四边形测量方法的。首先测量4个已知锚节点与未知节点之间的距离,然后通过质心定位得到粗糙解,最后通过牛顿迭代法得到更精确的节点。改进后的算法更适合于三维空间的利用,并且比传统的RSSI算法具有更好的定位精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An optimized three-dimensional positioning algorithm for rssi-based wireless sensor network
For the application of sensor networks in three-dimensional space, the main method of data transmission is to transmit data by finding spatial coordinate positions, Node localization is one of the key factors of wireless sensor networks. Based on the traditional RSSI algorithm, this paper presents an improved centroid location algorithm with higher accuracy. In the three-dimensional space, the problem of finding the coordinates of unknown nodes is based on the quadrilateral measurement method. The distance between the four known anchor nodes and the unknown node is first measured, and then a rough solution is obtained by centroid positioning, and finally the more accurate node can be obtained by the Newton iteration method. The improved algorithm is more suitable for the use of three-dimensional space, and has better positioning accuracy than the traditional RSSI algorithm.
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