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Dynamic Frequency Management in 802.11-based Multi-Radio Wireless Networks
KTH, School of Electrical Engineering (EES), Automatic Control.
2014 (English)In: European transactions on telecommunications, ISSN 1124-318X, E-ISSN 2161-3915, Vol. 25, no 7, 752-768 p.Article in journal (Refereed) Published
Abstract [en]

Efficient channel selection is essential in 802.11 mesh deployments, for minimising contention and interference among co-channel devices and thereby supporting a plurality of quality of service (QoS)-sensitive applications. A few protocols have been proposed for frequency allocation in such networks; however, they do not address the problem end-to-end. In this paper, we present a general formulation of the channel selection problem, taking into account the performance of both mesh access and mesh backhaul. Moreover, we propose a routing-aware channel selection protocol for wireless mesh networks (ARACHNE). ARACHNE is distributed in nature and motivated by our measurements on a wireless testbed. The main novelty of our protocol comes from adopting a metric that captures the end-to-end link loads across different routes in the network. ARACHNE prioritises the assignment of low-interference channels to links that (i) need to serve high-load aggregate traffic and/or (ii) already suffer significant levels of contention and interference. Our protocol takes into account the number of potential interfaces (radios) per device and allocates these interfaces in a manner that efficiently utilises the available channel capacity. We evaluate ARACHNE through extensive, trace-driven simulations, and we show the approaches to the optimal channel selection. We observe that our protocol improves the total network throughput, as compared to three other representative channel allocation approaches in literature.

Place, publisher, year, edition, pages
2014. Vol. 25, no 7, 752-768 p.
Keyword [en]
mesh networks, channel assignment, IEEE-802.11 wlans, association, optimization, algorithms, games, lans
National Category
Control Engineering
URN: urn:nbn:se:kth:diva-117708DOI: 10.1002/ett.2851ISI: 000340668000007OAI: diva2:602659

QC 20141007. Updated from submitted to published.

Available from: 2013-02-02 Created: 2013-02-02 Last updated: 2014-10-07Bibliographically approved

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