Research on Cache Algorithm for Internet of Vehicles Based on Edge Computing

A huge number of computational resource-intensive applications and other content delivery services have evolved with the arrival of the 5G era and the adoption of Internet-connected devices, and the data in the Internet of Vehicles has exhibited accelerated growth. To improve the service performance of telematics, caching content at the network edge is an effective solution to reduce content delivery latency. In this paper, we propose an edge caching scheme based on content popularity with cooperation between base stations, roadside units(RSUs) and vehicles, and use an improved sparrow search algorithm(PSSA)for optimization. Simulations show that the proposed caching scheme has advantages in terms of hit rate improvement and delay reduction.