The traffic reconstruction of wireless sensor based on wavelet denoising

Detecting the intrusion usually depends on predicting the regular data traffics in wireless sensor networks. However, in fact, the data traffics are certainly affected by noise. In this paper, the theory of wavelet threshold is adopted to remove noise to increase the forecast accuracy of data traffics in WSN. Several numerical simulation verified that the forecasting precision is high, and achieved results are satisfactory.