A Blockchain-Integrated Multi-Access Edge Computing Framework for Securing and Optimising Internet of Vehicles in Intelligent Transport Systems

The convergence of blockchain technology, multi-access edge computing (MEC) and artificial intelligence (AI) has opened new frontiers for advancing the Internet of Vehicles (IoV) within intelligent transport systems. The work introduces EdgeChain-AI, a novel framework that synergises these three technologies to improve the security, efficiency and scalability of IoV applications. By employing blockchain’s decentralised ledger for secure communication, MEC’s edge computing capabilities for instantaneous processing, and AI’s cognitive intelligence for predictive decision-making. The work addresses critical challenges such as latency, privacy and data integrity. Our framework outperforms current approaches by reducing latency by 25%, improving energy efficiency by 15% and maintaining 99.9% data integrity. Extensive evaluation and comparative analysis with existing methods like federated learning and edge intelligence solutions further demonstrate the superior performance of the proposed work. This study provides a forward-looking approach for the seamless integration of IoV into the broader IoT ecosystem, enhancing the advancement of intelligent transport systems.