Low-latency vehicular edge: A vehicular infrastructure model for 5G

Abstract

With 5G network services around the corner, vehicular cloud networks providing computation capabilities have taken precedence over traditional costly cloud solutions. However, with vehicular cloud computing, a variety of new challenges have grown. In this paper we propose an intra-vehicle resource sharing model to provide a range of cloud services such as on-demand entertainment and speech recognition for driver assistance. The proposed solution forms nearby low-latency Vehicular Service Clouds (VSC) on-the-fly as per the needs of vehicular users. Vehicles in parking lots or moving on the road collaborate and share their computation and storage resources to complete different vehicular service requests. We develop an incentive-based model that uses edge-based Road Side Units (RSU) to compose heterogeneous node resources and produce a usable resource that satisfies users’ requests with minimal delays. Through proof of concept simulations, we compare our solution against traditional cloud solutions to showcase the effectiveness of adopting our proposed framework.