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센서 네트워크 기반의 홀리스틱 분산 클러스터링 알고리즘
진평 ( Chen Ping ),임기욱 ( Kee-wook Rim ),남지은 ( Nam Ji-yeun ),이경오 ( Lee Kyungoh ) 한국정보처리학회 2008 한국정보처리학회 학술대회논문집 Vol.15 No.2
Nowadays the existing data processing systems can only support some simple query for sensor network. It is increasingly important to process the vast data streams in sensor network, and achieve effective acknowledges for users. In this paper, we propose a holistic distributed k-means algorithm for sensor network. In order to verify the effectiveness of this method, we compare it with central k-means algorithm to process the data streams in sensor network. From the evaluation experiments, we can verify that the proposed algorithm is highly capable of processing vast data stream with less computation time. This algorithm prefers to cluster the data streams at the distributed nodes, and therefore it largely reduces redundant data communications compared to the central processing algorithm.