Heterogeneous Information Network-Based Content Caching in the Internet of Vehicles

Abstract

With the rapid development of the Internet of Vehicles (IoV), the data in the network have become more complicated, and user demand for popular content has been growing. The focus of this paper is how to address the ever-changing mobile network environment of the IoV with the popular content caching strategy. To achieve the automatic selection, storage and delivery of popular content in the IoV, this paper modeled the network content as a heterogeneous information network (HIN). In this way, we can greatly reduce the load of the limited network with a small computational cost and give the user in the car a better experience with the automatic caching mode, in which the popular content can be cached in real time. For high-risk driving behavior, this popular content caching method is more secure and effective, which can reduce the network load, improve user satisfaction and bring a higher quality of experience (QoE) and a better quality of service (QoS) to users, as confirmed by the experimental results.