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

被引：0
作者：
Okere, Emmanuel Ekene [1 ]
Balyan, Vipin [1 ]
机构：
[1] Cape Peninsula Univ Technol, Fac Engn & Built Environm, Dept Elect Elect & Comp Engn, ZA-7535 Cape Town, South Africa
来源：
FUTURE INTERNET | 2024年 / 16卷 / 12期
关键词：
autonomous vehicles; deep learning; intelligent transportation systems; interoperability; vehicle data management; ARTIFICIAL-INTELLIGENCE; AUTONOMOUS VEHICLES; SECURE; CHALLENGES; NETWORK; ARCHITECTURE; MODEL; EFFICIENT; SYSTEM; TECHNOLOGY;
D O I：
10.3390/fi16120449
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
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页数：43
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