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All Journal PROtek : Jurnal Ilmiah Teknik Elektro
Entesar Alasaad
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy

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A Survey on AI Models for Vehicular and UAV Networks Challenges in High Mobility and Dynamic Topology Entesar Alasaad
PROtek : Jurnal Ilmiah Teknik Elektro Vol 13 No 1 (2026): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v13i1.11344

Abstract

Artificial Intelligence (AI) has become a key enabler of intelligent vehicular (V2X) and Unmanned Aerial Vehicle (UAV) networks. These networks face extreme mobility and rapidly changing topologies, making stable communication and decision-making very difficult. Traditional AI models such as CNN and RNN fail to adapt quickly to these dynamic conditions. This survey reviews recent AI-based approaches designed to improve reliability, latency, and energy efficiency in V2X and UAV networks. The study compares Deep Reinforcement Learning (DRL), Graph Neural Networks (GNN), and Federated Learning (FL) methods, highlighting their benefits and limitations. Future research should focus on adaptive AI architectures that can operate under continuous topology changes and mobility uncertainty.
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