Swarm-based and energy-aware unmanned aerial vehicle system for video delivery of mobile objects
I Medeiros, A Boukerche… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Floods are the most common disaster in the world and cause deaths, damages to houses,
buildings, and possessions, as well as disruption to communications. In such dynamic …
buildings, and possessions, as well as disruption to communications. In such dynamic …
Deep Reinforcement Learning Assisted UAV Path Planning Relying on Cumulative Reward mode and Region Segmentation
Z Wang, SX Ng, EIH Mohammed - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
In recent years, unmanned aerial vehicles (UAVs) have been considered for many
applications, such as disaster prevention and control, logistics and transportation, and …
applications, such as disaster prevention and control, logistics and transportation, and …
Synergetic fusion of Reinforcement Learning, Grey Wolf, and Archimedes optimization algorithms for efficient health emergency response via unmanned aerial vehicle
Owing to the recent technological innovations, unmanned aerial vehicles (UAVs) are
progressively employed in various civil and military applications, including healthcare. This …
progressively employed in various civil and military applications, including healthcare. This …
Trajectory design for effective and secure communication in UAV-WSN systems
Nowadays, unmanned aerial vehicles (UAVs) and wireless sensor networks (WSNs) are
often integrated in collaborative systems for data collection. In this paper, a specific UAV …
often integrated in collaborative systems for data collection. In this paper, a specific UAV …
Powering UAV with deep Q-network for air quality tracking
Tracking the source of air pollution plumes and monitoring the air quality during emergency
events in real-time is crucial to support decision-makers in making an appropriate …
events in real-time is crucial to support decision-makers in making an appropriate …
Research on Multi UAVS Task Allocation Method for Post Disaster Emergency Goods Distribution
L Chen, D Song, S Zhang - Journal of Physics: Conference …, 2023 - iopscience.iop.org
When a natural disaster occurs, ensuring timely and efficient delivery of emergency supplies
to every affected location is crucial in mitigate the losses caused by the disaster. This study …
to every affected location is crucial in mitigate the losses caused by the disaster. This study …
Reinforcement learning-enabled UAV itinerary planning for remote sensing applications in smart farming
S Pourroostaei Ardakani, A Cheshmehzangi - Telecom, 2021 - mdpi.com
UAV path planning for remote sensing aims to find the best-fitted routes to complete a data
collection mission. UAVs plan the routes and move through them to remotely collect …
collection mission. UAVs plan the routes and move through them to remotely collect …
Deep Reinforcement Learning-Driven UAV Data Collection Path Planning: A Study on Minimizing AoI
H Huang, Y Li, G Song, W Gai - Electronics, 2024 - mdpi.com
As a highly efficient and flexible data collection device, Unmanned Aerial Vehicles (UAVs)
have gained widespread application because of the continuous proliferation of Internet of …
have gained widespread application because of the continuous proliferation of Internet of …
Deep Reinforcement Learning‐Based UAV Path Planning for Energy‐Efficient Multitier Cooperative Computing in Wireless Sensor Networks
Benefiting from the progress of microelectromechanical system (MEMS) technology,
wireless sensor networks (WSNs) can run a large number of complex applications. One of …
wireless sensor networks (WSNs) can run a large number of complex applications. One of …
Optimizing UAV-UGV coalition operations: A hybrid clustering and multi-agent reinforcement learning approach for path planning in obstructed environment
S Brotee, F Kabir, MA Razzaque, P Roy… - Ad Hoc Networks, 2024 - Elsevier
One of the most critical applications undertaken by Unmanned Aerial Vehicles (UAVs) and
Unmanned Ground Vehicles (UGVs) is reaching predefined targets by following the most …
Unmanned Ground Vehicles (UGVs) is reaching predefined targets by following the most …