Reinforcement Algorithm based Jamming-Detection for Vehicular Ad Hoc Networks

The Vehicular Ad Hoc Networks (VANET) is emerging network, which uses vivid application and communicates between various nodes It disseminate safety information and information related to traffic. It also important that detection of jamming in the VANETS because jamming create very serious problems like It is exceptionally important to detect jamming in VANET, as it creates consequential problem to the vehicles which causes the accidents Hence in this paper authors considerably focused on jamming detection. Also authors proposed the reinforcement learning algorithm for the detection of jamming attacks. This algorithm as the advantages of maximizes the performance and it will sustain for a long time. In the proposed will give the better detection for jamming attacks with comparison of existing methods.