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Adaptive Real-Time Resource-Aware Data Stream Clustering Algorithm

WANG Xiao-ni


Considering the problem of resource-aware of sensor nodes’ processing power, memory capacity and battery power in dealing with data stream, the method of mining knowledge fast and effectively is analyzed. ARRA-Clustream clustering algorithm is proposed on the basis of CluStream algorithm. The algorithm combined with RA-Cluster algorithm improves the CluStream algorithm, introducing adaptive clustering method and the sliding window technique based on the characteristics of environmental resource-aware and time-aware to mine real-time data in the network nodes. Incremental clustering algorithm is used at the appointed time window to satisfy the time-aware. Clustering effective range is optimized, the clustering accuracy is increased and the cluster radius threshold is enlarged in the case of resource-aware. The generation of new clustering is restrained and resource consumption is reduced.


resource-aware, clustering, adaptive, real-time, accuracy.

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