Analysis of Frame Traffic Characteristics in IEEE 802.11 Networks

Ke Zhang; Xiaohu Ge; Chuang Liu; Lin Xiang

ChinaCom2009-Advances in Internet Symposium

Research Article

Analysis of Frame Traffic Characteristics in IEEE 802.11 Networks

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1109/CHINACOM.2009.5339870,
    author={Ke Zhang and Xiaohu Ge and Chuang Liu and Lin Xiang},
    title={Analysis of Frame Traffic Characteristics in IEEE 802.11 Networks},
    proceedings={ChinaCom2009-Advances in Internet Symposium},
    publisher={IEEE},
    proceedings_a={CHINACOM2009-AIS},
    year={2009},
    month={11},
    keywords={},
    doi={10.1109/CHINACOM.2009.5339870}
}

Ke Zhang
Xiaohu Ge
Chuang Liu
Lin Xiang
Year: 2009
Analysis of Frame Traffic Characteristics in IEEE 802.11 Networks
CHINACOM2009-AIS
IEEE
DOI: 10.1109/CHINACOM.2009.5339870

Ke Zhang¹, Xiaohu Ge¹^,*, Chuang Liu¹^,*, Lin Xiang¹^,*

1: Dept. Electronics & Information Engineering, Huazhong University of Science & Technology, Wuhan, P.R.China

*Contact email: iceker11@gmail.com, iceker11@gmail.com, iceker11@gmail.com

Abstract

Lots of works have showed that the wireless LAN frame traffic is self-similar and obeyed in the heavy-tailed distribution. This paper analyzes a frame traffic data collected from real IEEE 802.11 networks, and studies the impacts of each type of frame traffic (management frame traffic, control frame traffic, data frame traffic, and retransmission frame traffic) on characteristics of self-similarity and burstiness in the total frame traffic by estimating “impact index”. The results show that control frame traffic, data frame traffic and retransmission frame traffic in wireless LANs strengthen characteristics of self-similarity and burstiness in the total frame traffic, however, the management frame traffic has various impacts on the total frame traffic in different session periods.

Published: 2009-11-20
Publisher: IEEE
Modified: 2010-05-16

: http://dx.doi.org/10.1109/CHINACOM.2009.5339870