Please use this identifier to cite or link to this item: http://hdl.handle.net/11189/10260
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dc.contributor.authorOkere, Emmanuel Ekeneen_US
dc.contributor.authorBalyan, Vipinen_US
dc.date.accessioned2025-10-31T08:38:16Z-
dc.date.available2025-10-31T08:38:16Z-
dc.date.issued2024-
dc.identifier.citationOkere, E.E. & Balyan, V. 2024. Advances in blockchain-based internet of vehicles application: prospect for machine learning integration. Future Internet, 16(12): 1-43 https://doi.org/10.3390/fi16120449]en_US
dc.identifier.issn1999-5903-
dc.identifier.urihttp://hdl.handle.net/11189/10260-
dc.description.abstractBlockchain-based technology has completely revolutionized the development of the Internet of Vehicles (IoV) framework. This has led to increasing blockchain-based Internet of Vehicles application over the last decade. However, challenges persist, including scalability, interoperability, and security issues. This paper first presents the state-of-the-art overview on IoV systems along with their applications. Then, we explore novel technologies, including blockchain-based IoV and machine learning-based IoV and highlight how the blockchain technology could be integrated with machine learning for intelligent transportation systems in the IoV ecosystem. This paper has shown the potential of machine learning integration in addressing the technical challenges in individual blockchain-based Internet of Vehicles applications.en_US
dc.language.isoenen_US
dc.publisherMDPIen_US
dc.relation.ispartofFuture Interneten_US
dc.subjectAutonomous vehiclesen_US
dc.subjectDeep learningen_US
dc.subjectIntelligent transportation systemsen_US
dc.subjectInteroperabilityen_US
dc.subjectVehicle data managementen_US
dc.titleAdvances in blockchain-based internet of vehicles application: prospect for machine learning integrationen_US
dc.identifier.doihttps://doi.org/10.3390/fi16120449-
dc.typeArticleen_US
Appears in Collections:Eng - Journal articles (DHET subsidised)
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