An IoV Route Planning Service Based on LEO Constellation Satellites

With the arrival of Internet of Things, the Internet of Vehicles (IoV) is also developing rapidly. However, the construction of ground network in remote areas is difficult and expensive. Additionally, for urban areas, the traffic situations are sudden, the load pressure of the ground network is too high in this period. This paper introduces a method of IoV path planning based on LEO constellation satellite. The satellite first conducts global situational awareness, the control center makes the initial route and then obtains the optimal path according to Dijkstra algorithm and the Ant Colony Optimization (DiAC). It makes up for the defects of ground communication. Simulation results show that the vehicle network path planning based on STK+MATLAB designed in this paper is feasible and can relieve the ground traffic pressure and network load pressure.