Abstract: “In MANET the route discovery in AODV (Ad hoc on demand distance vector routing protocol) is performed on demand and it involves flooding the route request packet. The existing path may be unavailable as the node moves out of coverage due to its rapid node mobility or node fail as it energy level is drained. The proposed system implemented by a Reinforcement Learning using machine learning in which establishing the stable path by selecting these nodes that have node and link stability. A node performs the activity as action and a state. Action is apply the external condition and when given condition is satisfying than it provides reward is a state. This process will eliminate re-route discovery process and there by reduces additional routing overhead caused by the re route discovery. It provides a high degree of stability, increases packet delivery ratio and reduces routing overhead and delay”

Keywords: STABLE, PATH, SELECTION, NODES, REINFORCEMENT, LEARNING