A Review of AI-enabled Routing Protocols for UAV Networks: Trends, Challenges, and Future Outlook
Arnau Rovira-Sugranes, Abolfazl Razi, Fatemeh Afghah, Jacob Chakareski

TL;DR
This review paper discusses the integration of AI into UAV network routing protocols, highlighting recent trends, challenges, and future directions for dynamic, intelligent, and efficient UAV communication systems.
Contribution
It provides a comprehensive overview of AI-enabled routing algorithms for UAV networks, emphasizing topology prediction and self-adaptation in highly dynamic environments.
Findings
AI enhances UAV routing by modeling topology and environmental factors.
Learning-based protocols improve adaptability in dynamic UAV networks.
The paper identifies key challenges and future research directions.
Abstract
Unmanned Aerial Vehicles (UAVs), as a recently emerging technology, enabled a new breed of unprecedented applications in different domains. This technology's ongoing trend is departing from large remotely-controlled drones to networks of small autonomous drones to collectively complete intricate tasks time and cost-effectively. An important challenge is developing efficient sensing, communication, and control algorithms that can accommodate the requirements of highly dynamic UAV networks with heterogeneous mobility levels. Recently, the use of Artificial Intelligence (AI) in learning-based networking has gained momentum to harness the learning power of cognizant nodes to make more intelligent networking decisions by integrating computational intelligence into UAV networks. An important example of this trend is developing learning-powered routing protocols, where machine learning methods…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsUAV Applications and Optimization · Video Surveillance and Tracking Methods · Distributed Control Multi-Agent Systems
