一种利用K均值聚类的无线传感器网络节点定位算法

A Node Localization Method in Wireless Sensor Network Based on K-means Cluster

  • 摘要: 提出一种基于聚类的节点定位算法(聚类定位法)。该算法根据信号空间RSSI向量的相似性度量,实现节点位置空间的聚类成簇,每个簇区域采用不同的无线信号衰减模型参数来完成节点定位,在一定程度上可以提高定位精度。

     

    Abstract: Considering the influence of the environmental difference in the same localization circumstance, we proposes a node localization algorithm based on clustering in this paper. This algorithm can realize nodes clustering by using the RSSI-similarity degree in space environment, and succeed in localization estimation with different model parameters. Experimental results show that the proposed algorithm has a better localization accuracy than some RSSI algorithm.

     

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