Guest Editors
Dr. Adeel Iqbal
Email: adeeliqbal@yu.ac.kr
Affiliation: School of Computer Science and Engineering, Yeungnam University, 280 Daehak-ro, Gyeongsan-si, Gyeongbuk-do, 38541, KOREA
Homepage:
Research Interests: Device to Device, Cognitive Radio Networks
Dr. Yazdan Ahmad Qadri
Email: yazdan@yu.ac.kr
Affiliation: School of Computer Science and Engineering, Yeungnam University,
280 Daehak-ro, Gyeongsan-si, Gyeongbuk-do, 38541, KOREA
Homepage:
Research Interests: Wireless Communication, WiFi, Adhoc Networks, AI, E-Health, IoT
Summary
Vehicular Ad-Hoc Networks (VANETs) play a crucial role in the evolution of intelligent transportation systems, enabling real-time vehicle communication for enhanced safety, efficiency, and traffic management. With the rise of AI, 6G, and edge computing, VANETs are evolving to support next-generation mobility solutions.
This Special Issue aims to explore recent advancements in VANETs, focusing on innovative architectures, communication protocols, security frameworks, and AI-driven optimization. We welcome original research and review articles that address critical challenges such as reliability, low-latency communication, cybersecurity, and energy efficiency. The goal is to present cutting-edge solutions that can drive the future of connected and autonomous vehicles while ensuring seamless integration with smart city infrastructures.
Suggested Themes:
· AI and machine learning for VANET optimization
· V2X (Vehicle-to-Everything) communication protocols
· Security and privacy challenges in VANETs
· 6G and Non-Terrestrial Networks (NTN) for next-gen VANETs
· Edge and fog computing in vehicular networks
· Green and energy-efficient VANET solutions
· Blockchain-based security frameworks for VANETs
· Vehicular IoT
Keywords
Vehicular Ad-Hoc Networks (VANETs), V2X Communication, Intelligent Transportation Systems (ITS), Edge and Fog Computing, AI and Machine Learning in VANETs, Security and Privacy in VANETs, 6G and Non-Terrestrial Networks (NTN), Blockchain for VANET Security, Energy-Efficient Vehicular Networks, Autonomous and Connected Vehicles, Vehicular IoT
Published Papers
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