Vehicular Ad Hoc Network
Vehicular Ad Hoc Networks (VANETs) are wireless networks connecting vehicles, enabling communication and data sharing for applications like traffic management and autonomous driving. Current research focuses on improving VANET performance and security through techniques like reinforcement learning for efficient resource allocation and machine learning for detecting malicious actors and optimizing video streaming. These advancements aim to enhance the reliability, security, and efficiency of VANETs, ultimately contributing to safer and more intelligent transportation systems.
Papers
Cross-layer scheme for low latency multiple description video streaming over Vehicular Ad-hoc NETworks (VANETs)
Mohamed Aymen Labiod, Mohamed Gharbi, Francois-Xavier Coudoux, Patrick Corlay, Noureddine Doghmane
Enhanced adaptive cross-layer scheme for low latency HEVC streaming over Vehicular Ad-hoc Networks (VANETs)
Mohamed Aymen Labiod, Mohamed Gharbi, François-Xavier Coudoux, Patrick Corlay, Noureddine Doghmane
Region of Interest (ROI) based adaptive cross-layer system for real-time video streaming over Vehicular Ad-hoc NETworks (VANETs)
Mohamed Aymen Labiod, Mohamed Gharbi, François-Xavier Coudoux, Patrick Corlay