Delay-Aware Caching in Internet of Vehicles Networks

With the emergence of a large number of computational resource-intensive applications and various content delivery services, there is an explosion of data growth in the internet of vehicle (IoV). To improve the transmission performance of the IoV, caching content on the edge of the network is considered as a potential solution to reduce the content transmission delay. In this paper, we investigate the content caching decisions optimization method in the IoV to minimize the content fetching delay for vehicles, which is based on the vehicle-to-vehicle (V2V) collaboration. A delay-aware content caching (DCC) algorithm in the IoV is proposed, which consists of vehicle associations, content caching and pre-caching decisions optimization. Firstly, a delay-aware vehicle associations algorithm is proposed to optimize the vehicle associations. Consequently, based on the vehicle associations results, the content caching decisions is optimized in two network scenarios according to the existence of the handover vehicles. Finally, a practical scenario of Shanghai with time varying traffic flow is used for simulations and the effectiveness of the proposed DCC algorithm is verified.