Jamming and Anti-Jamming Strategies of Mobile Vehicles

Anti-jamming games have become a popular research topic. However, there are not many publications devoted to such in the case of vehicular ad hoc networks (VANETs). We considered VANET anti-jamming game on road using realistic driving model. Further, we assumed quadratic power function both vehicle and jammer utility functions instead standard linear term. This makes model more realistic. Using mathematical methods, expressed Nash equilibrium through system parameters single-channel multi-channel cases. Since network usually unknown, also compared performance several reinforcement learning algorithms that iteratively converge predicted analytically without having any information about environment static dynamic scenarios.