International Journal of Computer Science Issues

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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.