Proposal of an Automotive Collision Avoidance System based on Edge Computing

Nicolas Nevigato, Mauro Tropea, Floriano De Rango

Abstract

Multi-Access Edge Computing (MEC) is a network architecture that enables cloud computing capabilities and an IT service environment at the edge of the cellular network and, more in general at the edge of any network. It is often used in safety-critical and mission-critical communications as it is able to guarantee low latency and high bandwidth. It takes advantage of container-based virtualization and in collaboration with 5G cellular networks, it is a key enabler for the deployment of vehicular use cases, such as the improvement of road safety. This paper presents the implementation of a collision avoidance system based on MEC, with the ability to switch communication to a cloud server when possible, trying to guarantee the required constraints and balancing the communication among the servers avoiding of overloading edge layer. The simulation results have proved how in some cases the MEC-5G combination is the best one for the system in order to avoid collisions on the road.

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