Learning-based UAV path planning for data collection with integrated collision avoidance
Unmanned aerial vehicles (UAVs) are expected to be an integral part of wireless networks,
and determining collision-free trajectory in multi-UAV noncooperative scenarios while …
and determining collision-free trajectory in multi-UAV noncooperative scenarios while …
Multi-UAV path planning for wireless data harvesting with deep reinforcement learning
Harvesting data from distributed Internet of Things (IoT) devices with multiple autonomous
unmanned aerial vehicles (UAVs) is a challenging problem requiring flexible path planning …
unmanned aerial vehicles (UAVs) is a challenging problem requiring flexible path planning …
Trajectory design for UAV-based Internet of Things data collection: A deep reinforcement learning approach
In this article, we investigate an unmanned aerial vehicle (UAV)-assisted Internet of Things
(IoT) system in a sophisticated 3-D environment, where the UAV's trajectory is optimized to …
(IoT) system in a sophisticated 3-D environment, where the UAV's trajectory is optimized to …
UAV path planning for wireless data harvesting: A deep reinforcement learning approach
Autonomous deployment of unmanned aerial vehicles (UAVs) supporting next-generation
communication networks requires efficient trajectory planning methods. We propose a new …
communication networks requires efficient trajectory planning methods. We propose a new …
Joint flight cruise control and data collection in UAV-aided Internet of Things: An onboard deep reinforcement learning approach
Employing unmanned aerial vehicles (UAVs) as aerial data collectors in Internet-of-Things
(IoT) networks is a promising technology for large-scale environment sensing. A key …
(IoT) networks is a promising technology for large-scale environment sensing. A key …
Deep reinforcement learning based energy efficient multi-UAV data collection for IoT networks
SS Khodaparast, X Lu, P Wang… - IEEE Open Journal of …, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are regarded as an emerging technology, which can be
effectively utilized to perform the data collection tasks in the Internet of Things (IoT) networks …
effectively utilized to perform the data collection tasks in the Internet of Things (IoT) networks …
Bayesian optimization enhanced deep reinforcement learning for trajectory planning and network formation in multi-UAV networks
In this paper, we employ multiple UAVs coordinated by a base station (BS) to help the
ground users (GUs) to offload their sensing data. Different UAVs can adapt their trajectories …
ground users (GUs) to offload their sensing data. Different UAVs can adapt their trajectories …
Deep reinforcement learning approach for joint trajectory design in multi-UAV IoT networks
In this paper, we investigate an unmanned aerial vehicle (UAV) communication system,
where the trajectories of multi-UAVs are designed for the data collection mission of IoT …
where the trajectories of multi-UAVs are designed for the data collection mission of IoT …
Dynamic online trajectory planning for a UAV-enabled data collection system
S Li, F Wu, S Luo, Z Fan, J Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Due to the maneuverability and flexibility of unmanned aerial vehicles (UAVs), the UAV-
enabled data collection systems for wireless sensor networks (WSN) have received …
enabled data collection systems for wireless sensor networks (WSN) have received …
Path planning of multi-UAVs based on deep Q-network for energy-efficient data collection in UAVs-assisted IoT
X Zhu, L Wang, Y Li, S Song, S Ma, F Yang… - Vehicular …, 2022 - Elsevier
Abstract In recent years, Unmanned Aerial Vehicles (UAVs) can effectively alleviate the
problems of unstable links and low transmission efficiency, which have been applied for …
problems of unstable links and low transmission efficiency, which have been applied for …