Channel assignment in multi-radio wireless mesh networks: a graph-theoretic approach

  • Authors:

  • Srikrishna Sridhar;Jun Guo;Sanjay Jha

  • Affiliations:

  • Computer Science and Information Systems, Birla Institute of Technology and Science, Pilani, India;School of Computer Science and Engineering, The University of New South Wales, Australia;School of Computer Science and Engineering, The University of New South Wales, Australia

  • Venue:
  • COMSNETS'09 Proceedings of the First international conference on COMmunication Systems And NETworks
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, we propose a load-based scheme for assigning channels to radio interfaces in multi-radio, multi-channel wireless mesh networks. We first construct a model for channel assignment as an optimization problem with the goal of minimizing the overall network interference. The problem is proven to be NP-Hard. We then apply the Lagrangian relaxation method to obtain lower bounds as well as near-optimal feasible solutions for large size networks. We further present a metaheuristic based on genetic algorithms, which can yield good quality solutions for very large networks. With these two centralized approaches as the benchmark, we propose a fully distributed algorithm in order to tackle the channel assignment problem practically. Our extensive simulation experiments demonstrate that the distributed algorithm performs competitively and can serve as a practical and scalable solution to the channel assignment problem.