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 :
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