Joint multicast routing and channel assignment in multiradio multichannel wireless mesh networks using simulated annealing.
This paper proposes a simulated annealing (SA) algorithm based optimization approach to search a minimum-interference multicast tree which satisfies the end-to-end delay constraint and optimizes the usage of the scarce radio network resource in wireless mesh networks. In the proposed SA multicast algorithm, the path-oriented encoding method is adopted and each candidate solution is represented by a tree data structure (i.e., a set of paths). Since we anticipate the multicast trees on which the minimum-interference channel assignment can be produced, a fitness function that returns the total channel conflict is devised. The techniques for controlling the annealing process are well developed. A simple yet effective channel assignment algorithm is proposed to reduce the channel conflict. Simulation results show that the proposed SA based multicast algorithm can produce the multicast trees which have better performance in terms of both the total channel conflict and the tree cost than that of a well known multicast algorithm in wireless mesh networks.
Citation : Cheng, H. and Yang, S. (2008) Joint multicast routing and channel assignment in multiradio multichannel wireless mesh networks using simulated annealing. In: Simulated evolution and learning: Proceedings of the 7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008. Berlin: Springer-Verlag, pp. 370-380.
ISBN : 9783540896937
Research Group : Centre for Computational Intelligence
Research Institute : Institute of Artificial Intelligence (IAI)
Peer Reviewed : Yes