Efficient recovery algorithms for wireless mesh networks with cognitive radios

Authors:
Roberto Hincapie;Li Zhang;Jian Tang;Guoliang Xue;Richard S. Wolff;Roberto Bustamante
Affiliations:
Department of Telecommunications Engineering, Universidad Pontificia Bolivariana, Medellin, Colombia;Department of Computer Science at Montana State University, Bozeman, MT;Department of Computer Science at Montana State University, Bozeman, MT;Department of Computer Science and Engineering at Arizona State University, Tempe, AZ;Department of Electrical and Computer Engineering at Montana State University, Bozeman, MT;Department of Electric and Electronic Engineering at Universidad de los Andes, Bogota, Colombia
Venue:
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Year:
2009

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Abstract

Cognitive radios allow unlicensed wireless users to access channels that are in the licensed spectrum bands. However, in a wireless network with cognitive radios, when a licensed user becomes active on a channel in a certain area, nodes and links that were using that channel must release it, which will cause traffic failures. Simple and effective recovery schemes are needed to re-allocate available resources for the failed traffic. In this paper, we study the failure recovery in wireless mesh networks with cognitive radios. We formally formulate the corresponding problems as integer linear programming problems. By solving them, we can obtain optimal solutions. Moreover, an efficient distributed heuristic algorithm is presented for fast recovery. Simulation results show that the performance given by our distributed algorithm is close to that of the optimal solutions.