Distributed Data Mining in Wireless Sensor Networks

Authors

  • Juan Du Yellow River Conservancy Technical Institute
  • Fenfen Wu Henan College of Transportation

DOI:

https://doi.org/10.3991/ijoe.v12i11.6224

Keywords:

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

Abstract


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.

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Published

2016-11-24

How to Cite

Du, J., & Wu, F. (2016). Distributed Data Mining in Wireless Sensor Networks. International Journal of Online and Biomedical Engineering (iJOE), 12(11), pp. 68–71. https://doi.org/10.3991/ijoe.v12i11.6224

Issue

Section

Short Papers