Multi-Level Edge Computing System Architecture For V2X Technology

Abstract

There are many issues when deploying self-driving car applications, such as unbalanced traffic flow in the network topology and inefficient network utilization, Therefore, open and flexible automotive architectures are key requirements to enable experimenters to test their solutions in a productive environment. Also improve the management of network resources, applications and users. In this work, simulation models for the automotive network based on MEC and SDN technologies were developed, on the basis of which their positive impact on the automotive network was investigated and proved. The architecture of the automobile network was developed and its functional components were described in detail. In the results, simulation models were developed: the first experiment demonstrated a model showing the positive effect of Edge and Fog Computing on the load of the network core; a second experiment demonstrated the positive effect of SDN in load balancing between BS and RSU roadside units.