In this latest scientific contribution, presented at the IEEE 94th Vehicular Technology Conference VTC 2021, CNIT and Sma-RTy Edge & 5G people collaborated to demonstrate vehicular computation offloading using Multi access Edge Computing (MEC) technology. It reveals as an interesting use case for Multi access Edge Computing (MEC) application for Distributed Ledger Technologies (DLT), where blockchain transactions are executed directly at the edge of the network.
Sma-RTy contributed with its on-premise 5G MEC infrastructure, fully compliant with ETSI MEC standards and locally deployed at the Leghorn Port Authority.
Below the abstract:
Connected and autonomous vehicles run their control algorithms in dedicated on-board computing platforms, which will become obsolete long before the end of the life cycle of the vehicles, severely limiting the evolution of their control software and the deployment of cooperative vehicular applications. A promising solution for this problem is to delegate the most demanding computational tasks to the edge nodes the of Vehicular Ad-hoc Networks, leveraging on the Vehicular Edge Computing paradigm. This requires both low-latency, high-bandwidth communications and secure computing offloading. In this paper, we propose an architecture that ensures supporting secure computation offloading, using the IOTA-VPKI security scheme, without additional delay overhead. Furthermore, to demonstrate the applicability of the proposed scheme to a real case, we measured the time required for the execution of a maneuver plan supervised by an application, the Maneuver Control (MC), located on an edge node. Experimental results show that the described scheme is a very promising solution.Securing vehicular computation offloading: A distributed ledger-based approach
Securing vehicular computation offloading: A distributed ledger-based approach
Domenico Lattuca and Luca Di Mauro and Franscesco Bisconti (CNIT, Pisa) and Federico Civerchia (Sma-RTy Italia), Andrea Tesei and Marco Luise (Universita di Pisa) and Paolo Pagano (CNIT) and Joaquim Ferreira (Universidade de Aveiro)