In recent years, wireless sensor networks have gradually expanded in the field of transportation. Among them, in-vehicle sensor networks, as a new generation of network technologies that have received much attention, have broad application prospects in urban road condition detection and traffic anomaly detection. In particular, vehicles with wireless communication capabilities and roadside access points (APs) are interconnected to form a new application system, the Vehicular Ad-hoc NETwork (VANET), which provides information distribution between vehicles. Services such as querying, sharing and downloading multimedia materials continue to improve the user’s harsh driving environment and enrich the driving life of network users. However, with the popularization of intelligent transportation, the Internet of Vehicles also brings some problems. For example, the high-speed movement of vehicle nodes leads to highly dynamic changes in the network topology, and the energy, storage, transmission distance and processing capability of the nodes make QoS insufficient. Aiming at these problems, we propose a multi-convergence node coordination mechanism based on cellular automata, which improves the network’s perception ability by simulating the state of vehicle sensor movement in traffic flow, and adopts a heuristic algorithm considering multi-convergence nodes’ capability. This method effectively solves the problems of network coverage life and QoS. Finally, we verify the effectiveness of the method through simulation.