Title :
The traffic reconstruction of wireless sensor based on wavelet denoising
Author :
Wen-Le, Bai ; Wei, Yang-Wei ; Wei Ke ; Xiao, Ke ; Guo-Hua, Li
Author_Institution :
Coll. of Inf. Eng., North China Univ. of Technol., Beijing, China
Abstract :
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.
Keywords :
security of data; telecommunication traffic; wavelet transforms; wireless sensor networks; data traffic; forecast accuracy; forecasting precision; intrusion detection; traffic reconstruction; wavelet denoising; wavelet threshold; wireless sensor networks; Educational institutions; Noise reduction; Presses; Security; Wavelet analysis; Wavelet transforms; Wireless sensor networks; WSN; intrusion detection; threshold denoising; wavelet transform;
Conference_Titel :
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9762-1
DOI :
10.1109/CSSS.2011.5974930
