YE Ning, WANG Ruchuan. A Sensor Network-Based Data Stream Clustering Algorithm for Pervasive Computing[J]. Chinese Journal of Electronics, 2009, 18(2): 255-258.
Citation: YE Ning, WANG Ruchuan. A Sensor Network-Based Data Stream Clustering Algorithm for Pervasive Computing[J]. Chinese Journal of Electronics, 2009, 18(2): 255-258.

A Sensor Network-Based Data Stream Clustering Algorithm for Pervasive Computing

  • Received Date: 2008-03-01
  • Rev Recd Date: 2008-04-01
  • Publish Date: 2009-05-25
  • Pervasive computing is characterized bythe integration with communication and digital mediatechnology embedded to the people's living space. People can transparently access the digital service anywhere.Wireless sensor networks are a novel technology and havebroad application prospects. With the maturity of thewireless sensor networks technology, pervasive computingis becoming a reality. It is become a new technology challenge to process the data streams of sensor networks forpervasive environment effciently and to find useful knowledge in these data streams. A k-means data stream clustering algorithm based on sensor networks is presented.The main idea of this algorithm is to select the initial centroids according to the aggregation gain of the node, thento cluster the data stream using the average square error.The experimental results are showed that this algorithm iseffective and effcient.
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      沈阳化工大学材料科学与工程学院 沈阳 110142

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