Distributed Data Mining in Wireless Sensor Networks

Juan Du, Fenfen Wu


With the rapid development and wide application of sensor network technology, consequently a huge volume of data would be continuously generated and collected. In order to process the data and analyze the data more accurate and efficient, the paper proposed a distributed data mining method in wireless sensor networks. Thus Smart Octopus, an open framework for seamlessly integrating sensor network and data mining technology, so that both of the huge amounts of data resource collected in sensor networks and the powerful knowledge discovery capability of data mining could be effectively and efficiently utilized, is discussed in this paper.


distributed data; data mining; integration; Hadoop; wireless sensor networks

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International Journal of Online and Biomedical Engineering (iJOE) – eISSN: 2626-8493
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