Meta Reinforcement Learning for UAV-Assisted Energy Harvesting IoT Devices in Disaster-Affected Areas

Meta Reinforcement Learning for UAV-Assisted Energy Harvesting IoT Devices in Disaster-Affected Areas

<p dir="ltr">Over the past decade, Unmanned Aerial Vehicles (UAVs) have attracted significant attention due to their potential applications in emergency-response applications, including wireless power transfer (WPT) and data collection from Internet of Things (IoT) devices in disaste...

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Bibliographic Details
Main Author: Marwan Dhuheir (19170898) (author)
Other Authors: Aiman Erbad (14150589) (author), Ala Al-Fuqaha (4434340) (author), Abegaz Mohammed Seid (19170901) (author)
Published: 2024
Subjects:
Engineering
Aerospace engineering
Electrical engineering
Information and computing sciences
Artificial intelligence
Distributed computing and systems software
Machine learning
Energy harvesting
UAVs positions
energy consumption
meta-reinforcement learning
UAVs
strategic locations
Internet of Things
Autonomous aerial vehicles
Optimization
Data collection
Energy consumption
Trajectory
Disasters
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