Vehicular Networks Projects for M.E, M.Tech, Masters, MS abroad, and PhD students. These Vehicular Networks ieee projects are implemented with future work and extension for final year project submission with research paper publishing. These research projects guide final year students to learn, practice, and complete their academic submissions successfully. Each project includes complete source code, project report, PPT, a tutorial, documentation, and a research paper.

Latest Vehicular Networks Projects

  1. Hierarchical Reinforcement Learning for Multi-Layer Multi-Service NonTerrestrial Vehicular Edge Computing
    This project focuses on improving computing for smart vehicles. It combines ground-based and satellite edge computing to help vehicles process data faster and in more areas. The system uses machine learning to decide where and how much data to process for lower delay and energy use. Simulations show that this approach works better than existing methods.
  2. Towards 6G V2X Sidelink: Survey of Resource Allocation—Mathematical Formulations, Challenges, and Proposed Solutions
    This project studies how future 6G networks can improve communication between vehicles and other devices on the road. It looks at ways to share network resources fairly and efficiently while avoiding interference and collisions. The study also explores new techniques like machine learning and edge computing to make vehicle communication faster and more reliable. Overall, it aims to make connected vehicles safer and more efficient in a hyperconnected 6G environment.
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