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Blockchain-empowered digital twins collaboration: smart transportation use case

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Show simple item record Sahal, Radhya Alsamhi, Saeed H. Brown, Kenneth N. O'Shea, Donna McCarthy, Conor T. Guizani, Mohsen 2021-09-20T09:39:03Z 2021-09-20T09:39:03Z 2021
dc.description peer-reviewed en_US
dc.description.abstract Digital twins (DTs) is a promising technology in the revolution of the industry and essential for Industry 4.0. DTs play a vital role in improving distributed manufacturing, providing up-to-date operational data representation of physical assets, supporting decision-making, and avoiding the potential risks in distributed manufacturing systems. Furthermore, DTs need to collaborate within distributed manufacturing systems to predict the risks and reach consensus-based decision-making. However, DTs collaboration suffers from single failure due to attack and connection in a centralized manner, data interoperability, authentication, and scalability. To overcome the above challenges, we have discussed the major high-level requirements for the DTs collaboration. Then, we have proposed a conceptual framework to fulfill the DTs collaboration requirements by using the combination of blockchain, predictive analysis techniques, and DTs technologies. The proposed framework aims to empower more intelligence DTs based on blockchain technology. In particular, we propose a concrete ledger-based collaborative DTs framework that focuses on real-time operational data analytics and distributed consensus algorithms. Furthermore, we describe how the conceptual framework can be applied using smart transportation system use cases, i.e., smart logistics and railway predictive maintenance. Finally, we highlighted the future direction to guide interested researchers in this interesting area. en_US
dc.language.iso eng en_US
dc.publisher MDPI en_US
dc.relation.ispartofseries Machines;9, 193
dc.subject blockchain en_US
dc.subject digital twins en_US
dc.title Blockchain-empowered digital twins collaboration: smart transportation use case en_US
dc.type info:eu-repo/semantics/article en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.identifier.doi 10.3390/machines9090193
dc.contributor.sponsor SFI en_US
dc.contributor.sponsor European Union (EU) en_US
dc.relation.projectid 16/RC/3918 en_US
dc.relation.projectid 847577 en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US

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