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arXiv · 1811.06832

Spectrum graph coloring to improve Wi-Fi channel assignment in a real-world scenario via edge contraction

David Orden·Ivan Marsa-Maestre·Jose Manuel Gimenez-Guzman·Enrique de la Hoz·Ana Álvarez-Suárez
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Abstract

The present work deals with the problem of efficiently assigning Wi-Fi channels in a real-world scenario, the Polytechnic School of the University of Alcal\'a. We first use proximity graphs to model the whole problem as an instance of spectrum graph coloring, we further obtain a simplified model using edge contraction, and we finally use simulated annealing to look for a coloring which optimizes the network throughput. As the main result, we show that the solutions we obtain outperform the de facto standard for Wi-Fi channel assignment, both in terms of network throughput and of computation time.

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David Orden, Ivan Marsa-Maestre, Jose Manuel Gimenez-Guzman, Enrique de la Hoz, Ana Álvarez-Suárez. 2018-11-16. Spectrum graph coloring to improve Wi-Fi channel assignment in a real-world scenario via edge contraction. https://doi.org/10.1016/j.dam.2018.12.009

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