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    Modeling 802.11e for data traffic parameter design.


    Clifford, Peter and Duffy, Ken R. and Foy, John and Leith, Douglas J. and Malone, David (2006) Modeling 802.11e for data traffic parameter design. In: 2006 4th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks, April 3-7, Boston, Massachusetts. WiOPT 2006. IEEE, pp. 1-10. ISBN 0-7803-9549-2

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    Abstract

    This paper introduces a finite load multi-class 802.11e EDCF model that is simple enough to be explicitly solvable. The model is nevertheless flexible enough to model the impact of 802.11e parameters on the prioritization of realistic traffic. We emphasize that a modeling framework which allows nonsaturated sources is essential in the study of realistic traffic. We apply the model to a situation of practical interest: competing TCP flows in an infrastructure network. The model allows us to make a principled selection of 802.11e parameters to resolve problems highlighted in this scenario. Model predictions and parameter selections are validated against simulation and experiment. The model is shown to be accurate and the parameters effective.

    Item Type: Book Section
    Additional Information: "©2006 IEEE. Reprinted from 2006 4th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks, April 3-7, Boston, Massachusetts. WiOPT 2006. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE." http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1666451&isnumber=34865
    Keywords: 802.11e; EDCF model; TCP flows; Infrastructure network; WiOpt 2006; Hamilton Institute.
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 1775
    Identification Number: 0-7803-9550-6/06
    Depositing User: Hamilton Editor
    Date Deposited: 11 Jan 2010 15:22
    Publisher: IEEE
    Refereed: Yes
    URI:

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