Modeling and Analysis of Wireless Lan Traffic 


Vol. 33,  No. 8, pp. 667-680, Aug.  2008


PDF
  Abstract

In this work, we present the results of our empirical study on 802.11 wireless LAN network traffic. We collect the packet trace from existing campus wireless LAN infra-structure. We analyzed four different data sets: aggregate traffic, upstream traffic, downstream traffic, tcp only packet trace from aggregate traffic. We analyze the time series aspect of underlying traffic (byte count process and packet count process), marginal distribution of time series, and packet size distribution. We found that in all four data sets there exist long-range dependent property in byte count and packet count process. Inter-arrival distribution is well fitted with Pareto distribution. Upstream traffic, i.e. from the user to Internet, exhibits significant difference in its packet size distribution from the rests. Average packet size of upstream traffic is 151.7 byte while average packet size of the rest of the data sets are all greater than 260 bytes. Packets with full data payloads constitutes 3% and 10% in upstream traffic and the downstream traffic, respectively. Despite the significant difference in packet size distribution, all four data sets have similar Hurst values. The Hurst alone does not properly explain the stochastic characteristics of the underlying traffic. We model the underlying traffic using fractional-ARIMA (FARIMA) and fractional Gaussian Noise (FGN). While the fractional Gaussian Noise based method is computationally more efficient, FARIMA exhibits superior performance in accurately modeling the underlying traffic.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

D. Yamkhin, S. Lee, Y. Won, "Modeling and Analysis of Wireless Lan Traffic," The Journal of Korean Institute of Communications and Information Sciences, vol. 33, no. 8, pp. 667-680, 2008. DOI: .

[ACM Style]

Dashdorj Yamkhin, Seongjin Lee, and Youjip Won. 2008. Modeling and Analysis of Wireless Lan Traffic. The Journal of Korean Institute of Communications and Information Sciences, 33, 8, (2008), 667-680. DOI: .

[KICS Style]

Dashdorj Yamkhin, Seongjin Lee, Youjip Won, "Modeling and Analysis of Wireless Lan Traffic," The Journal of Korean Institute of Communications and Information Sciences, vol. 33, no. 8, pp. 667-680, 8. 2008.