The BARIUM5G project aims to define and propose innovative, sustainable and replicable hardware and software solutions on a large scale for the following Smart City scenarios: (a) efficient management of public lighting; (b) blockchain-based analysis and certification of vehicle fleet data; (c) blockchain-based supply chain traceability; (d) last-mile logistics based on Artificial Intelligence (AI) and Augmented Reality (AR). The fifth-generation (5G) mobile network will be leveraged across the board to enable the exploitation of emerging technologies such as Blockchain and Explainable Artificial Intelligence algorithms for deductive reasoning and data analysis. Research focus is placed on solutions that are easy to replicate, based on off-the-shelf devices and on the evolution of currently available frameworks. This will foster technology transfer results already in the short/medium term to make the best use of the 5G resources and infrastructures.

BARIUM5G - Blockchain and ARtificial Intelligence for Ubiquitous coMputing via 5G

Giuseppe Loseto;
2020

Abstract

The BARIUM5G project aims to define and propose innovative, sustainable and replicable hardware and software solutions on a large scale for the following Smart City scenarios: (a) efficient management of public lighting; (b) blockchain-based analysis and certification of vehicle fleet data; (c) blockchain-based supply chain traceability; (d) last-mile logistics based on Artificial Intelligence (AI) and Augmented Reality (AR). The fifth-generation (5G) mobile network will be leveraged across the board to enable the exploitation of emerging technologies such as Blockchain and Explainable Artificial Intelligence algorithms for deductive reasoning and data analysis. Research focus is placed on solutions that are easy to replicate, based on off-the-shelf devices and on the evolution of currently available frameworks. This will foster technology transfer results already in the short/medium term to make the best use of the 5G resources and infrastructures.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.12572/7620
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