Please use this identifier to cite or link to this item: http://hdl.handle.net/11189/10260
Title: Advances in blockchain-based internet of vehicles application: prospect for machine learning integration
Authors: Okere, Emmanuel Ekene 
Balyan, Vipin 
Keywords: Autonomous vehicles;Deep learning;Intelligent transportation systems;Interoperability;Vehicle data management
Issue Date: 2024
Publisher: MDPI
Source: Okere, 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]
Journal: Future Internet 
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.
URI: http://hdl.handle.net/11189/10260
ISSN: 1999-5903
DOI: https://doi.org/10.3390/fi16120449
Appears in Collections:Eng - Journal articles (DHET subsidised)

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