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Proceedings Paper

Wireless network traffic modeling based on extreme value theory
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Paper Abstract

In this paper, Extreme Value Theory (EVT) is presented to analyze wireless network traffic. The role of EVT is to allow the development of procedures that are scientifically and statistically rational to estimate the extreme behavior of random processes. There are two primary methods for studying extremes: the Block Maximum (BM) method and the Points Over Threshold (POT) method. By taking limited traffic data that is greater than the threshold value, our experiment and analysis show the wireless network traffic model obtained with the EVT fits well with that of empirical distribution of traffic, thus illustrating that EVT has a good application foreground in the analysis of wireless network traffic.

Paper Details

Date Published: 2 October 2006
PDF: 8 pages
Proc. SPIE 6387, Next-Generation Communication and Sensor Networks 2006, 63870E (2 October 2006); doi: 10.1117/12.685715
Show Author Affiliations
Chunfeng Liu, Tianjin Univ. (China)
Yantai Shu, Tianjin Univ. (China)
Oliver W. W. Yang, Univ. of Ottawa (Canada)
Jiakun Liu, Tianjin Univ. (China)
Linfang Dong, Tianjin Univ. (China)


Published in SPIE Proceedings Vol. 6387:
Next-Generation Communication and Sensor Networks 2006
Mohammed Atiquzzaman; Sergey I. Balandin, Editor(s)

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