基于网格松弛的无线传感器网络集中定位算法

Zhixiong Liang, Xingcheng Liu
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引用次数: 2

摘要

无线传感器网络(WSNs)的许多应用都要求传感器节点知道自己的位置。配备GPS模块可以很容易地解决这个问题,但成本较高。本文提出了一种基于网格松弛法的WSN集中定位算法。计算机仿真表明,该算法可以在相对坐标系中估计节点的位置,并借助几个锚节点将相对坐标系转换为全局坐标系。该算法首先通过将边缘节点拉向不同方向来拉伸网络网格,然后通过放松网格来缩小网格,从而避免了网络的折叠和翻转。所获得的定位结果比其他定位方法具有更高的精度。我们的算法可以基于距离或连通性来使用。
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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A centralized localization algorithm based on mesh relaxation in Wireless Sensor Networks
Many applications of Wireless Sensor Networks (WSNs) require sensor nodes know their positions. Equipping GPS modules can solve this problem easily, but it is of high cost. In this paper, we propose a centralized localization algorithm for WSN based on mesh relaxation method. Computer simulations show that with our algorithm the positions of nodes can be estimated in a relative coordinate system, which can be transformed to the global coordinate system with the aid of a few anchor nodes. The proposed algorithm can avoid folds and flips through firstly stretching the mesh of the network by pulling some fringe nodes towards different directions, and then making the mesh to shrink by relaxing it. The position results achieved have higher precision than those with other positioning methods. Our algorithm can be used based on ranging or connectivity.
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