A Novel Method of Routing for MANETs with Considering the Energy by Learning Automata

Abstract_Recent advances in wireless technology have enabled the rapid development of wireless manet networks. This paper proposes a novel on-demand routing protocol for mobile ad hoc networks based on best route selection with learning automata. Our proposed protocol is capable of operating efficiently in the route with considerationenergy restriction.We applied our method in an optimized version of an ad hoc on-demand distance vector (AODV) routing algorithm, namely Learning Automata AODV Routing (AAODV). In this protocol, a learning automata agent keeps running on every node and this agent routes the packets in a best path (most of the time shortest path), which in turn saves the energy. We have discussed simulation results by comparing with AODV and DSDV protocols.