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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/5974

Title: Joint QoS multicast routing and channel assignment in multiradio multichannel wireless mesh networks using intelligent computational methods
Authors: Cheng, H
Yang, S
Keywords: Wireless mesh networks
Multicast
Channel assignment
Genetic algorithm
Simulated annealing
Tabu search
Publication Date: 2011
Publisher: Elsevier
Citation: Applied Soft Computing Journal, 12(2): 1953 - 1964, Mar 2011
Abstract: In this paper, the quality of service multicast routing and channel assignment (QoS-MRCA) problem is investigated. It is proved to be a NP-hard problem. Previous work separates the multicast tree construction from the channel assignment. Therefore they bear severe drawback, that is, channel assignment cannot work well with the determined multicast tree. In this paper, we integrate them together and solve it by intelligent computational methods. First, we develop a unified framework which consists of the problem formulation, the solution representation, the fitness function, and the channel assignment algorithm. Then, we propose three separate algorithms based on three representative intelligent computational methods (i.e., genetic algorithm, simulated annealing, and tabu search). These three algorithms aim to search minimum-interference multicast trees which also satisfy the end-to-end delay constraint and optimize the usage of the scarce radio network resource in wireless mesh networks. To achieve this goal, the optimization techniques based on state of the art genetic algorithm and the techniques to control the annealing process and the tabu search procedure are well developed separately. Simulation results show that the proposed three intelligent computational methods based multicast algorithms all achieve better performance in terms of both the total channel conflict and the tree cost than those comparative references.
Description: Copyright @ 2010 Elsevier B.V. All rights reserved.
Sponsorship: This work was supported by the Engineering and Physical Sciences Research Council (EPSRC) of UK under Grant EP/E060722/1.
URI: http://www.sciencedirect.com/science/article/pii/S156849461000147X
http://bura.brunel.ac.uk/handle/2438/5974
DOI: http://dx.doi.org/10.1016/j.asoc.2010.06.011
ISSN: 1568-4946
Appears in Collections:School of Information Systems, Computing and Mathematics Research Papers
Computer Science

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