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  • 标题:Data Mining of Bayesian Networks to Select Fusion Nodes from Wireless Sensor Networks
  • 本地全文:下载
  • 作者:Yee Ming Chen
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2016
  • 卷号:13
  • 期号:4
  • 出版社:IJCSI Press
  • 摘要:In the wireless sensor networks(WSN) management, under different regions and different time, spectral data is very big, resulting in the sensor nodes management would be difficult, this paper based on Bayesian network of data mining to select fusion node in the wireless sensor networks, which focused on balancing energy consumption. Under the architecture of Bayesian network, in which can integrate the quantitative and qualitative knowledge into a comprehensive probabilistic knowledge representation and inference WSN environment. It discusses how these techniques can prepare mining the wireless sensor networks data inside the network (in-network) before data fusion further processing as big data.
  • 关键词:Data mining; Bayesian Networks; Data fusion
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