Edge collaborative caching solution based on improved NSGA II algorithm in Internet of Vehicles

Abstract

With the rapid development of the Internet of Vehicles technology and the continuous advancement of intelligent transportation, vehicle network traffic is growing exponentially. Traditional caching solutions transmit content through the core network, causing significant latency. A vehicle-cloud collaborative edge caching network architecture was proposed to address this type of problem. Using this architecture, both the on-board terminals and cloud/edge servers could provide computing services. A communication model, caching model, latency model, energy consumption model, load model and multi-objective optimization problem model were designed. The edge collaborative caching solution based on the improved NSGA II algorithm was proposed. By caching some services to edge nodes and nearby vehicles, reducing content access latency and improving resource utilization. The results indicate that the caching solution outperforms the comparison scheme in terms of the comprehensive costs of latency, energy consumption, and load balancing in simulation experiments. It can meet the caching requirements of low latency and low energy consumption for in-vehicle applications, laying a solid foundation for achieving more efficient and reliable connected vehicles and autonomous driving.