Characteristics analysis and modeling of frame traffic in 802.11 wireless networks

Authors:
Xiao-hu Ge;Yang Yang;Cheng-Xiang Wang;Ying-Zhuang Liu;Chuang Liu;Lin Xiang
Affiliations:
Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, P.R.China;Department of Electronic & Electrical Engineering, University College London, Gower Street, London WC1E 6BT, U.K.;Joint Research Institute for Signal and Image Processing, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh EH14 4AS, U.K.;Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, P.R.China;Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, P.R.China;Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, P.R.China
Venue:
Wireless Communications & Mobile Computing
Year:
2010

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A Frame Traffic Control Algorithm for IEEE802.11 WLAN

GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing

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Abstract

In this paper, we analyze the impacts of different frame types on the self-similarity and burstiness characteristics of the aggregated frame traffic in a real 802.11 wireless local area network (WLAN). We find that the impacts of different frame types are related to the mean frame sizes and the proportions of specified frame types in the aggregated frame traffic. Furthermore, we propose an analytical model to capture the relationship of self-similarity characteristics between the aggregated frame traffic and different frame types. These new results provide an insight of frame traffic characteristics and some practical guidelines for developing new efficient algorithms to improve the common medium utilization and system throughput performance. Copyright © 2009 John Wiley & Sons, Ltd. In this paper, we analyze the impacts of different frame types on the self-similarity and burstiness characteristics of the aggregated frame traffic in a real 802.11 wireless local area network. We find the impacts of different frame types are related to the mean frame sizes and the proportions of specified frame types in the aggregated frame traffic.