A hierarchical system of learning automata that can learn the globally optimal path
Information Sciences: an International Journal
Learning automata with changing number of actions
IEEE Transactions on Systems, Man and Cybernetics
Learning automata: an introduction
Learning automata: an introduction
Mobility prediction and routing in ad hoc wireless networks
International Journal of Network Management
Associativity-Based Routing for Ad Hoc Mobile Networks
Wireless Personal Communications: An International Journal
Wireless Communications & Mobile Computing
A near-optimal multicast scheme for mobile ad hoc networks using a hybrid genetic algorithm
Expert Systems with Applications: An International Journal
E-ODMRP: Enhanced ODMRP with motion adaptive refresh
Journal of Parallel and Distributed Computing
Clustering the wireless Ad Hoc networks: A distributed learning automata approach
Journal of Parallel and Distributed Computing
Clustering the wireless Ad Hoc networks: A distributed learning automata approach
Journal of Parallel and Distributed Computing
Computer Networks: The International Journal of Computer and Telecommunications Networking
Link stability based multicast routing scheme in MANET
Computer Networks: The International Journal of Computer and Telecommunications Networking
Journal of Network and Computer Applications
A Learning Automata-Based Cognitive Radio for Clustered Wireless Ad-Hoc Networks
Journal of Network and Systems Management
A cellular learning automata-based algorithm for solving the vertex coloring problem
Expert Systems with Applications: An International Journal
Learning automata-based algorithms for solving stochastic minimum spanning tree problem
Applied Soft Computing
Wireless Personal Communications: An International Journal
The Journal of Supercomputing
Algorithms on graphs with small dominating targets
ISAAC'06 Proceedings of the 17th international conference on Algorithms and Computation
Learning automata-based algorithms for solving stochastic minimum spanning tree problem
Applied Soft Computing
LLACA: An adaptive localized clustering algorithm for wireless ad hoc networks
Computers and Electrical Engineering
Computers & Mathematics with Applications
Finding minimum weight connected dominating set in stochastic graph based on learning automata
Information Sciences: an International Journal
An adaptive backbone formation algorithm for wireless sensor networks
Computer Communications
Mobility prediction in mobile wireless networks
Journal of Network and Computer Applications
Journal of Network and Computer Applications
A distributed resource discovery algorithm for P2P grids
Journal of Network and Computer Applications
Link stability estimation based on link connectivity changes in mobile ad-hoc networks
Journal of Network and Computer Applications
An adaptive learning automata-based ranking function discovery algorithm
Journal of Intelligent Information Systems
An adaptive learning to rank algorithm: Learning automata approach
Decision Support Systems
International Journal of Mobile Network Design and Innovation
A link-state QoS routing protocol based on link stability for Mobile Ad hoc Networks
Journal of Network and Computer Applications
A channel estimation based opportunistic scheduling scheme in wireless bidirectional networks
Journal of Network and Computer Applications
Agent Driven Delay and Power Constrained Multicast Routing in Mobile Ad Hoc Networks by Using ANFIS
Wireless Personal Communications: An International Journal
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Recently, several studies have been conducted to design mobility-based multicast routing protocols for wireless mobile ad hoc networks (MANET). These protocols assume that the mobility parameters of the network are fixed, and so they cannot perform well under real MANET scenarios in which the mobility parameters of the hosts vary over time at random. Finding the optimal solution to the multicast routing problem is incredibly hard, if the mobility parameters are assumed to be random variables. This becomes more difficult when the probability distribution function of these random variables is assumed to be unknown. In this paper, we propose a weighted multicast routing algorithm for MANET in which the mobility parameters are supposed to be random variables with unknown distribution. In this method, the multicast routing problem is first transformed into an equivalent stochastic Steiner tree problem in which the random weight associated with a communication link is its expected duration time. Then, a learning automata-based algorithm is proposed for solving the proxy Steiner tree problem. The aim of the proposed algorithm is to find the most stable multicast route (with the maximum duration) against the host mobility. Experimental results confirm the superiority of the proposed method over the best existing mobility-based multicast routing protocols in terms of the packet delivery ratio, multicast route lifetime, control message overhead, and end-to-end delay.