Low-latency caching with auction game in vehicular edge computing

With the rapid advances in vehicular technologies and the ever-increasing demands on mobile multimedia services, vehicular networks play a crucial role in intelligent transport systems by providing resilient connection among vehicles and users. Meanwhile, a huge number of parked vehicles may have abundant and underutilized resources in forms of computation, communication and storage. In this paper, we propose a vehicular edge computing (VEC) caching scheme in which content providers (CPs) collaboratively cache popular contents in the storage of parked vehicles located in multiple parking lots. The proposed VEC caching scheme extends the data center capability from the core to the edge of the networks. As a result, the duplicate transmissions from remote servers can be removed and the total transmission latency can be significantly reduced. In order to minimize the average latency to mobile users, we present a content placement algorithm based on an iterative ascending price auction. Numerical results show that the proposed caching scheme achieves a performance gain up to 24% in terms of average latency, compared to the widely-used scheme with most popularity caching.