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