DocumentCode
2888489
Title
Efficient Recovery Algorithms for Wireless Mesh Networks with Cognitive Radios
Author
Hincapie, Roberto ; Zhang, Li ; Tang, Jian ; Xue, Guoliang ; Wolff, Richard S. ; Bustamante, Roberto
Author_Institution
Dept. of Telecommun. Eng., Univ. Pontificia Bolivariana, Medellin, Colombia
fYear
2009
fDate
14-18 June 2009
Firstpage
1
Lastpage
5
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.
Keywords
cognitive radio; distributed algorithms; integer programming; linear programming; telecommunication network reliability; telecommunication traffic; cognitive radios; distributed heuristic algorithm; failure recovery algorithm; integer linear programming problems; licensed spectrum bands; traffic failures; unlicensed wireless users; wireless mesh networks; Bandwidth; Cognitive radio; Distributed algorithms; Heuristic algorithms; Integer linear programming; Resource management; Routing; Telecommunication traffic; Wireless mesh networks; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2009. ICC '09. IEEE International Conference on
Conference_Location
Dresden
ISSN
1938-1883
Print_ISBN
978-1-4244-3435-0
Electronic_ISBN
1938-1883
Type
conf
DOI
10.1109/ICC.2009.5198977
Filename
5198977
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