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    Modeling and Analysis of Active Queue Management Schemes under Bursty Traffic.

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    Publication date
    2006
    Author
    Wang, Lan
    Min, Geyong
    Awan, Irfan U.
    Keyword
    QoS
    Queuing modeling
    Congestion control
    Bursty traffic
    Wireless networks
    Peer-Reviewed
    Yes
    
    Metadata
    Show full item record
    Abstract
    Traffic congestion arising from the shared nature of uplink channels in wireless networks can cause serious problems for the provision of QoS to various services. One approach to overcome these problems is to implement some effective congestion control mechanisms at the downlink buffer at the mobile network link layer or at gateways on the behalf of wireless network access points. Active queue management (AQM) is an effective mechanism to support end-to-end traffic congestion control in modern high-speed networks. Initially developed for Internet routers, AQM is now being also considered as an effective congestion control mechanism to enhance TCP performance over 3G links. This paper proposes an analytical performance model for AQM using various dropping functions. The selection of different dropping functions and threshold values required for this scheme plays a critical role on its effectiveness. The model uses a well-known Markov-modulated Poisson process (MMPP) to capture traffic burstiness and correlations. The validity of the model has been demonstrated through simulation experiments. Extensive analytical results have indicated that exponential dropping function is a good choice for AQM to support efficient congestion control.
    URI
    http://hdl.handle.net/10454/3734
    Version
    No full-text available in the repository
    Citation
    Wang, L., Min, G. and Awan, I.U. (2006). Modeling and Analysis of Active Queue Management Schemes under Bursty Traffic. International Journal of Wireless Information Networks. Vol. 13, No. 2, pp. 161-171.
    Link to publisher’s version
    http://dx.doi.org/10.1007/s10776-006-0032-3
    Type
    Article
    Collections
    Engineering and Informatics Publications

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