Advances in Blockchain-Based Internet of Vehicles Application: Prospect for Machine Learning Integration

Emmanuel Ekene Okere () and Vipin Balyan
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Emmanuel Ekene Okere: Department of Electrical, Electronics and Computer Engineering, Faculty of Engineering & the Built Environment, Cape Peninsula University of Technology, Bellville, Cape Town 7535, South Africa
Vipin Balyan: Department of Electrical, Electronics and Computer Engineering, Faculty of Engineering & the Built Environment, Cape Peninsula University of Technology, Bellville, Cape Town 7535, South Africa

Future Internet, 2024, vol. 16, issue 12, 1-43

Abstract: Blockchain-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.

Keywords: autonomous vehicles; deep learning; intelligent transportation systems; interoperability; vehicle data management (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)

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