Controller load balancing method based on evolutionary game

The invention relates to the technical field of wireless short-distance communication of the Internet of Vehicles, in particular to a controller load balancing method based on evolutionary game, which comprises the following steps: step 1, vehicles in a multi-selection area M randomly select unmanned aerial vehicles U1 and U2 respectively, and determine an initial network state; step 2, calculating the income of each vehicle according to the unmanned aerial vehicle selected by each vehicle in the multi-selection area M; 3, calculating the average income of all vehicles in the multi-selection area M according to the income of each vehicle and the corresponding network state; 4, whether the income increment of each vehicle is larger than the switching cost or not is judged, if yes, the vehicle is switched to another unmanned aerial vehicle according to the switching probability, and if not, switching is not conducted; and step 5, judging whether the network state after the switching of the vehicle is finished c