Cellular Learning Automata-based Channel Assignment Algorithms for Wireless Mobile Ad Hoc Networks
Alireza Enami Eraghi, Javad Akbari Torkestani, Mohammad Reza Meybodi, Amir Hosein, Fathy Navid · 2011
Abstract. The wireless mobile ad hoc network (MANET) architecture has received a lot of attention recently. This paper considers the access of multiple channels in a MANET with multi-hop communication behavior. We point out several interesting issues when using multiple channels. Our proposed algorithms enables hosts to utilize multiple channels by switching channels dynamically, thus increasing network throughput and decrease packet delay. In this paper, we first introduce the model of cellular learning automata in which learning automata are used to adjust the state transition probabilities of cellular automata. Then a cellular learning automata based channel assignment algorithm is proposed.