DocumentCode
2624942
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
fYear
2011
fDate
27-29 June 2011
Firstpage
4116
Lastpage
4118
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-9762-1
Type
conf
DOI
10.1109/CSSS.2011.5974930
Filename
5974930
Link To Document