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An Improved Centroid Localization Algorithm for WSN

机译:一种改进的无线传感器网络质心定位算法

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Node localization is one of the key technologies in wireless sensor network (WSN). Centroid localization algorithm is totally dependent on the density of the size and distribution of anchor nodes, but they distribute randomly and the density of them is small. In view of the traditional centroid localization algorithm is vulnerable to the influence of network deployment status, and the present situation of low positioning precision, put forward an improved centroid localization algorithm. Firstly, put the thinking of weight to the process of node coordinates’ calculation, introduce the concept of reference anchor nodes. Then design the weighting strategy accordingly, using the weighted results as the unknown nodes’ estimated coordinates, and improve the positioning accuracy through multiple weights. Finally, use simulation experiment to compare the accuracy and stability of the improved algorithm with the classical one. The experimental results show that compared with the traditional algorithm, the improved algorithm’s localization accuracy is higher.
机译:节点本地化是无线传感器网络(WSN)的关键技术之一。质心定位算法完全取决于锚节点的大小和分布密度,但是它们是随机分布的,并且密度很小。针对传统的质心定位算法容易受到网络部署状况的影响,以及定位精度低的现状,提出了一种改进的质心定位算法。首先,将权重的思想引入节点坐标的计算过程中,引入参考锚节点的概念。然后,使用加权结果作为未知节点的估计坐标,相应地设计加权策略,并通过多个加权来提高定位精度。最后,通过仿真实验比较了改进算法与经典算法的准确性和稳定性。实验结果表明,与传统算法相比,改进算法的定位精度更高。

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