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    Decentralised Learning MACs for Collision-free Access in WLANs

    Fang, Minyu and Malone, David and Duffy, Ken R. and Leith, Douglas J. (2013) Decentralised Learning MACs for Collision-free Access in WLANs. Wireless Networks, 19 (1). pp. 83-98. ISSN 1022-0038

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    By combining the features of CSMA and TDMA, fully decentralised WLAN MAC schemes have recently been proposed that converge to collision-free schedules. In this paper we describe a MAC with optimal long-run throughput that is almost decentralised. We then design two scheme that are practically realisable, decentralised approximations of this optimal scheme and operate with different amounts of sensing information. We achieve this by (1) introducing learning algorithms that can substantially speed up convergence to collision free operation; (2) developing a decentralised schedule length adaptation scheme that provides long-run fair (uniform) access to the medium while maintaining collision-free access for arbitrary numbers of

    Item Type: Article
    Additional Information: This is the postprint version of the published article, which is available at . The authors are with Hamilton Institute, NUI Maynooth, Ireland. Work supported by SFI Grants RFP-07-ENEF530, 07/SK/I1216a and HEA’s Network Maths Grant.
    Keywords: learning MAC; collision-free MACs; convergence time; schedule length adaptation;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 6001
    Identification Number:
    Depositing User: Dr. David Malone
    Date Deposited: 08 Apr 2015 15:48
    Journal or Publication Title: Wireless Networks
    Publisher: Springer Verlag
    Refereed: Yes
    Funders: Science Foundation Ireland (SFI), Higher Education Authority (HEA)
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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