Wireless network traffic modeling based on extreme value theory

Chunfeng Liu; Yantai Shu; Oliver W. W. Yang; Jiakun Liu; Linfang Dong

doi:10.1117/12.685715

2 October 2006 Wireless network traffic modeling based on extreme value theory

Chunfeng Liu, Yantai Shu, Oliver W. W. Yang, Jiakun Liu, Linfang Dong

Proceedings Volume 6387, Next-Generation Communication and Sensor Networks 2006; 63870E (2006) https://doi.org/10.1117/12.685715
Event: Optics East 2006, 2006, Boston, Massachusetts, United States

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.

Citation Download Citation

Chunfeng Liu, Yantai Shu, Oliver W. W. Yang, Jiakun Liu, and Linfang Dong "Wireless network traffic modeling based on extreme value theory", Proc. SPIE 6387, Next-Generation Communication and Sensor Networks 2006, 63870E (2 October 2006); https://doi.org/10.1117/12.685715

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