9 papers
A Review of AI-enabled Routing Protocols for UAV Networks: Trends, Challenges, and Future Outlook
Arnau Rovira-Sugranes, Abolfazl Razi, Fatemeh Afghah +1
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 depar…
Aerial Imagery Pile burn detection using Deep Learning: the FLAME dataset
Alireza Shamsoshoara, Fatemeh Afghah, Abolfazl Razi +3
Wildfires are one of the costliest and deadliest natural disasters in the US, causing damage to millions of hectares of forest resources and threatening the lives of people and ani…
Real-time Framework for Trust Monitoring in aNetwork of Unmanned Aerial Vehicles
Mahsa Keshavarz, Alireza Shamsoshoara, Fatemeh Afghah +1
Unmanned aerial vehicles (UAVs) have been increasingly utilized in various civilian and military applications such as remote sensing, border patrolling, disaster monitoring, and co…
A Solution for Dynamic Spectrum Management in Mission-Critical UAV Networks
Alireza Shamsoshoara, Mehrdad Khaledi, Fatemeh Afghah +3
In this paper, we study the problem of spectrum scarcity in a network of unmanned aerial vehicles (UAVs) during mission-critical applications such as disaster monitoring and public…
Wildfire Monitoring in Remote Areas using Autonomous Unmanned Aerial Vehicles
Fatemeh Afghah, Abolfazl Razi, Jacob Chakareski +1
In this paper, we propose a drone-based wildfire monitoring system for remote and hard-to-reach areas. This system utilizes autonomous unmanned aerial vehicles (UAVs) with the main…
Distributed Cooperative Spectrum Sharing in UAV Networks Using Multi-Agent Reinforcement Learning
Alireza Shamsoshoara, Mehrdad Khaledi, Fatemeh Afghah +2
In this paper, we develop a distributed mechanism for spectrum sharing among a network of unmanned aerial vehicles (UAV) and licensed terrestrial networks. This method can provide…