DocumentCode
3389600
Title
Fractal characteristics analysis of wireless network traffic based on Hurst parameter
Author
Wang, Taijun ; Yu, Qin ; Mao, Yuming
Author_Institution
Sch. of Commun. & Inf. Eng., Univ. of Electron. Sci. & Technol., Chengdu, China
fYear
2009
fDate
23-25 July 2009
Firstpage
173
Lastpage
176
Abstract
This paper uses three statistical analyses methods, R/S statistic, variance-time plots and periodogram-based analysis, to estimate the Hurst parameter of the wireless network traffic. The fractal statistical characteristics of wireless network traffic are studied based on the Hurst parameter. Simulation results compare the parameter estimation values of fractal wireless network traffic by utilizing above three statistical approaches. The simulation results demonstrate that wireless network traffic exhibits fractal characteristics. These results can be very useful for the performance improvement and the system design optimization of wireless network.
Keywords
radio networks; statistical analysis; telecommunication traffic; Hurst parameter estimation; fractal characteristics analysis; periodogram-based analysis; statistical analysis method; system design optimization; variance-time plot; wireless network traffic; Analysis of variance; Communication system traffic control; Computer networks; Fractals; Parameter estimation; Statistical analysis; Telecommunication traffic; Traffic control; Wireless LAN; Wireless networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, Circuits and Systems, 2009. ICCCAS 2009. International Conference on
Conference_Location
Milpitas, CA
Print_ISBN
978-1-4244-4886-9
Electronic_ISBN
978-1-4244-4888-3
Type
conf
DOI
10.1109/ICCCAS.2009.5250546
Filename
5250546
Link To Document