Priori knowledge driven active cache decision-making method in Internet of Vehicles

The invention discloses an active cache decision-making method based on priori knowledge driving in the Internet of Vehicles, which belongs to the technical field of mobile communication, and comprises the following steps: constructing a combined edge cache architecture model in the Internet of Vehicles consisting of vehicles, users and edge nodes; predicting popularity and features by using a dynamic time graph network based on node clustering and semantic virtual edges; and constructing a request cache placement strategy with maximized cache benefits based on the request semantic information. According to the method, the request cache placement problem of the mobile user in the Internet of Vehicles is solved, the time graph network is used for prediction, the cache benefit function is used for solving the cache position, the efficiency of the cache service can be ensured through combination of the time graph network and the cache benefit function, and the user response rate and the system benefit are improv