Smarter Vehicle Networks: Cognitive AI for Next-Gen Cars

Sachin Shelke, Dr. Satish Sankaye and Kanchan Vaishnav
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Sachin Shelke: Computer Science, MGM University
Dr. Satish Sankaye: Computer Science, MGM University
Kanchan Vaishnav: Computer Science, MGM University

International Journal of Research and Scientific Innovation, 2025, vol. 12, issue 7, 2402-2408

Abstract: Tomorrow’s cars need smarter networks. Today’s Vehicular Ad-hoc Networks (VANETs) struggle to meet the diverse and often conflicting demands of advanced applications, from split-second collision alerts to seamless streaming. Current cognitive radio (CR)-VANETs fall short, lacking the ability to orchestrate network resources effectively for multiple Quality of Service (QoS) goals in ever-changing traffic. This paper introduces the Cognitive-Driven Orchestration Framework (CDOF), a novel approach using Meta-Reinforcement Learning (Meta-RL). CDOF intelligently manages spectrum and communication settings for a wide range of vehicular services. By understanding real-time conditions like vehicle movement, network interference (from “primary users†), and specific application needs, CDOF learns adaptable resource allocation strategies. Our Meta-RL engine, capable of “learning to learn,†quickly adjusts to new, unseen situations, ensuring robust network performance even in highly dynamic environments.

Date: 2025
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