Learning automata: an introduction
Learning automata: an introduction
Centralized channel assignment and routing algorithms for multi-channel wireless mesh networks
ACM SIGMOBILE Mobile Computing and Communications Review
Reconsidering wireless systems with multiple radios
ACM SIGCOMM Computer Communication Review
Interference-aware topology control and QoS routing in multi-channel wireless mesh networks
Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
Approximating Optimal Multicast Trees in Wireless Multihop Networks
ISCC '05 Proceedings of the 10th IEEE Symposium on Computers and Communications
Proceedings of the 11th annual international conference on Mobile computing and networking
Characterizing the capacity region in multi-radio multi-channel wireless mesh networks
Proceedings of the 11th annual international conference on Mobile computing and networking
Efficient multicast routing in wireless mesh networks connected to internet
InterSense '06 Proceedings of the first international conference on Integrated internet ad hoc and sensor networks
Wireless Mesh Networks: Architectures, Protocols, Services and Applications
Wireless Mesh Networks: Architectures, Protocols, Services and Applications
On multicast routing in wireless mesh networks
Computer Communications
SEAL '08 Proceedings of the 7th International Conference on Simulated Evolution and Learning
Channel assignment for multicast in multi-channel multi-radio wireless mesh networks
Wireless Communications & Mobile Computing - Next Generation Wireless Communications and Mobile Computing-Networking Technologies
Channel assignment with partially overlapping channels in wireless mesh networks
Proceedings of the 4th Annual International Conference on Wireless Internet
Wireless mesh networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Efficient Multicast Algorithms for Multichannel Wireless Mesh Networks
IEEE Transactions on Parallel and Distributed Systems
Efficient multicasting for multi-channel multi-interface wireless mesh networks
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
Multicast in multi-channel wireless mesh networks
NETWORKING'10 Proceedings of the 9th IFIP TC 6 international conference on Networking
Service selection in stochastic environments: a learning-automaton based solution
Applied Intelligence
Varieties of learning automata: an overview
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
The capacity of wireless networks
IEEE Transactions on Information Theory
Multicast Routing in Wireless Mesh Networks: Minimum Cost Trees or Shortest Path Trees?
IEEE Communications Magazine
Channel Assignment Strategies for Multiradio Wireless Mesh Networks: Issues and Solutions
IEEE Communications Magazine
A tutorial on decomposition methods for network utility maximization
IEEE Journal on Selected Areas in Communications
A Cross-Layer Optimization Framework for Multihop Multicast in Wireless Mesh Networks
IEEE Journal on Selected Areas in Communications
Dynamic game with perfect and complete information based dynamic channel assignment
Applied Intelligence
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Multicast routing is a crucial issue in wireless networks in which the same content should be delivered to a group of recipients simultaneously. Multicast is also considered as a key service for audio and video applications as well as data dissemination protocols over the last-mile backhaul Internet connectivity provided by multi-channel multi-radio wireless mesh networks (MCMR WMNs). The multicast problem is essentially related to a channel assignment strategy which determines the most suitable channel-radio associations. However, channel assignment brings about its own complications and hence, solving the multicast problem in MCMR WMNs will be more complicated than that of traditional networks. This problem has been proved to be NP-hard. In the major prior art multicast protocols developed for these networks, channel assignment and multicast routing are considered as two separate sub-problems to be solved sequentially. The work in this article is targeted at promoting the adoption of learning automata for joint channel assignment and multicast routing problem in MCMR WMNs. In the proposed scheme named LAMR, contrary to the existing methods, these two sub-problems will be solved conjointly. Experimental results demonstrate that LAMR outperforms the LCA and MCM proposed by Zeng et al. (IEEE Trans. Parallel. Distrib. Syst. 21(1):86---99, 2010) as well as the genetic algorithm-, tabu search-, and simulated annealing-based methods by Cheng and Yang (Int. J. Appl. Soft Comput. 11(2):1953---1964, 2011) in terms of achieved throughput, end-to-end delay, average packet delivery ratio, and multicast tree total cost.