Utility maximization resource allocation method for Internet of Vehicles network slices

The invention discloses a utility maximization resource allocation method oriented to Internet of Vehicles network slices, which aims at solving the problem of vehicle service resource allocation under an Internet of Vehicles system, combines a network slice technology, considers the influence of different Internet of Vehicles service rates, time delays and vehicle mobility on network utility, and aims at maximizing the network utility. A network slice resource allocation model based on an Internet of Vehicles system is constructed. The invention provides a double Sigmoid function particle swarm optimization algorithm (MBDS-PSO) based on a dynamic memory library, the global and local search capabilities of the algorithm are enhanced, the standard deviation of the algorithm solution result is reduced, the problems that the traditional particle swarm algorithm and some improved algorithms are not smooth in transition of the previous and later search capabilities and the like are solved, and the search efficienc