Automotive Network Architecture Based on UAVs, SDN and Heterogeneous Edge Computing

Abstract

Research subject is the use of UAVs, a multi-layer cloud MEC system and fog computing technology to reduce the load on the core network and reduce round-trip delay in vehicle networks and in the Smart City infrastructure; using multiple types of SDN controllers. Research method – analysis of standards and recommendations in the field of SDN, MEC technologies; Fog and building UAV networks, as well as vehicle networks. Main results. Three possible types of SDN controllers depending on the area of data exchange are described in detail; describes the sequence of actions for the distribution of UAVs in areas of increased load, as well as for choosing the level of processing; detailed theoretical information about VANET chips and MEC technology is presented. Practical significance. The presented architecture will reduce the load on the core network and ensure the provision of ultra-low transmission delays in vehicles and Smart City infrastructure.