Vehicle-Mounted Self-Organizing Network Routing Algorithm Based on Deep Reinforcement Learning

Through the research on the vehicle-mounted self-organizing network, in view of the current routing technical problems of the vehicle-mounted self-organizing network under the condition of no roadside auxiliary communication unit cooperation, this paper proposes a vehicle network routing algorithm based on deep reinforcement learning. For the problems of massive vehicle nodes and multiple performance evaluation indexes in vehicular ad hoc network, this paper proposes a time prediction model of vehicle communication to reduce the probability of communication interruption and proposes the routing technology of vehicle network by studying the deep reinforcement learning method. This technology can quickly select routing nodes and plan the optimal route according to the required performance evaluation indicators.