A distributed dynamic clustering algorithm for wireless sensor networks |
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Authors: | Leichun Wang Shihong Chen Ruimin Hu |
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Institution: | [1]National Engineering Research Center of MultimediaSoftware, Wuhan University, Wuhan 430072, Hubei, China [2]School of Computer, Wuhan University, Wuhan 430072,Hubei, China |
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Abstract: | This paper proposes a distributed dynamic k-medoid clustering algorithm for wireless sensor networks (WSNs), DDKCAWSN. Different from node-clustering algorithms and
protocols for WSNs, the algorithm focuses on clustering data in the network. By sending the sink clustered data instead of
practical ones, the algorithm can greatly reduce the size and the time of data communication, and further save the energy
of the nodes in the network and prolong the system lifetime. Moreover, the algorithm improves the accuracy of the clustered
data dynamically by updating the clusters periodically such as each day. Simulation results demonstrate the effectiveness
of our approach for different metrics.
Biography: WANG Leichun (1974–), male, Ph.D. candidate, research direction: wireless communication. |
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Keywords: | k-medoid distributed data clustering wireless sensor networks (WSNs) |
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