Dimensionality Reduction and Noise Removal in Wireless Sensor Network Datasets

@article{Sheybani2009DimensionalityRA,
  title={Dimensionality Reduction and Noise Removal in Wireless Sensor Network Datasets},
  author={Ehsan O. Sheybani and Giti Javidi},
  journal={2009 Second International Conference on Computer and Electrical Engineering},
  year={2009},
  volume={2},
  pages={674-677}
}
  • E. Sheybani, G. Javidi
  • Published 28 December 2009
  • Computer Science
  • 2009 Second International Conference on Computer and Electrical Engineering
Many wireless sensor network datasets suffer from the effects of acquisition noise, channel noise, fading, and fusion of different nodes with huge amounts of data. Any of these effects alone or their combination could adversely affect the decision made at the fusion center. We have developed computationally low power, low bandwidth, and low cost filters that will remove the noise and compress the data so that a decision can be made at the node level. This wavelet-based method is guaranteed to… 

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