It is very difficult to find feasible QoS (Quality of Service) routes in the Mobile Ad hoc NETworks (MANETs), because of the nature constrains of it, such as dynamic network topology, wireless communication link and limited process capability of nodes. In order to reduce average cost in flooding path discovery scheme of the traditional MANETs routing protocols and increase the probability of success in finding QoS feasible paths and the paper proposed a heuristic and distributed route discovery method named RLGAMAN that supports QoS requirement for MANETs in this study. This method integrates a distributed route discovery scheme with a Reinforcement Learning (RL) method that only utilizes the local information for the dynamic network environment.
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