Machine Learning-Based Internet of Vehicles and Internet of Things Systems
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 49
Special Issue Editors
Interests: information theory and coding; security; ISAC; AI; vehicle–road collaboration
Special Issues, Collections and Topics in MDPI journals
Interests: network information theory; integrated sensing and communication; millimeter-wave communications; AI-driven wireless design; information security
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid evolution of the Internet of Vehicles (IoV) and the Internet of Things (IoT) is transforming modern intelligent transportation and smart environments. Machine learning (ML) plays a crucial role in enhancing the efficiency, security, and adaptability of these interconnected systems. By leveraging ML techniques, IoV and IoT can achieve real-time data processing, intelligent decision-making, anomaly detection, and predictive analytics, thereby improving traffic management, vehicle automation, and smart city applications.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Machine learning models for IoV and IoT: Deep learning, reinforcement learning, and federated learning applications.
- Intelligent traffic management: ML-based congestion control, route optimization, and real-time navigation.
- Autonomous and connected vehicles: AI-driven vehicular communication, decision-making, and cybersecurity.
- Predictive analytics and anomaly detection: ML-based fault detection, predictive maintenance, and risk assessment in IoT and IoV.
- Security and privacy in IoV and IoT: AI-driven threat detection, blockchain integration, and intrusion prevention.
- Edge and cloud computing in IoT/IoV: Distributed ML models for efficient data processing.
- Smart city applications: AI-enhanced IoT systems for urban planning, energy management, and environmental monitoring.
- 5G and beyond in IoV and IoT: ML optimization in high-speed and ultra-low latency networks.
Dr. Congduan Li
Prof. Dr. Min Li
Dr. Xiangping Zhai
Guest Editors
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Keywords
- machine learning
- Internet of Vehicles (IoV)
- Internet of Things (IoT)
- deep learning
- intelligent transportation
- cybersecurity
- smart cities
- predictive analytics
- autonomous vehicles
- edge computing
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