Integrated Service Discovery and Placement in Information-Centric Vehicular Network Slices
Abstract
Connected and autonomous driving is one of the prominent vertical applications to showcase the capabilities of the 5G mobile network to transform and disrupt numerous industrial sectors and service chains. Cooperative autonomous mobility applications require ultra low latency communication, utilize massive broadband connections for vast numbers of connected devices, all of this under high mobility settings. Cloud and Edge Computing, artificial intelligence (AI), and the Internet of things (IoT) pave the path for the most important role of 5G: to attain an integration platform for the challenges of vertical applications. In this work, we first review these enabling features of 5G for autonomous driving and their integration in our autonomous driving testbed on urban public roads. We then propose an enhancement to the 5G vehicle to everything (V2X) architecture by incorporating the information-centric communication paradigm. Our simulations of a proposed approach for integrated service discovery and placement in the high mobility settings of autonomous driving applications show improved service continuity and latency measured by hop counts to service endpoints and number of cache nodes. The results serve as a base line performance indicator for the practical implementation of the proposed approach.