ICLEAR: Energy aware routing protocol for WSN using irregular cellular learning automata

This paper presents an energy aware learning automata-based routing protocol, ICLEAR, for wireless sensor network that adopts a novel approach to increase the network lifetime. This protocol is energy saver and manager both. We decrease energy consumption to increase network lifetime and manage routing discovery procedure to find best route in energy consumption by irregular cellular learning automata concept. 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 use irregular cellular learning automata for routing problem in network. Finally, We simulate and evaluate proposed routing protocol, ICLEAR, with other learning automata based routing protocols by Glomosim simulator.