AoI oriented UAV trajectory planning in wireless powered IoT networks

Q Dang, Q Cui, Z Gong, X Zhang… - 2022 IEEE Wireless …, 2022 - ieeexplore.ieee.org
In the emerging Internet-of-Things (IoT) paradigm, the freshness of sensory information
plays a crucial role in online data-analyzing and application-level decision-making. As the …

Trajectory planning of UAV in wireless powered IoT system based on deep reinforcement learning

J Zhang, Y Yu, Z Wang, S Ao, J Tang… - 2020 IEEE/CIC …, 2020 - ieeexplore.ieee.org
In this paper, a UAV-assisted wireless powered communication system for IoT network is
studied. Specifically, the UAV performs as base station (BS) to collect the sensory …

AoI-minimal trajectory planning and data collection in UAV-assisted wireless powered IoT networks

H Hu, K Xiong, G Qu, Q Ni, P Fan… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
This article investigates the unmanned aerial vehicle (UAV)-assisted wireless powered
Internet-of-Things system, where a UAV takes off from a data center, flies to each of the …

AoI-energy-aware UAV-assisted data collection for IoT networks: A deep reinforcement learning method

M Sun, X Xu, X Qin, P Zhang - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Thanks to the inherent characteristics of flexible mobility and autonomous operation,
unmanned aerial vehicles (UAVs) will inevitably be integrated into 5G/B5G cellular networks …

Deep Q-learning based resource management in UAV-assisted wireless powered IoT networks

K Li, W Ni, E Tovar, A Jamalipour - ICC 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
In Unmanned Aerial Vehicle (UAV)-assisted Wireless Powered Internet of Things (IoT), the
UAV is employed to charge the IoT nodes remotely via Wireless Power Transfer (WPT) and …

3D Trajectory Optimization and Communication Resources Allocation in UAV-assisted IoT Networks for Sustainable Industry 5.0

P Du, Y Shi, H Cao, S Garg, G Kaddoum… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) has been utilized as an efficient data collector for Internet of
Things (IoT) networks in sustainable industry 5.0. Whereas, how to sustain a stable power …

Minimum throughput maximization for multi-UAV enabled WPCN: A deep reinforcement learning method

J Tang, J Song, J Ou, J Luo, X Zhang, KK Wong - IEEE access, 2020 - ieeexplore.ieee.org
This paper investigates joint unmanned aerial vehicle (UAV) trajectory planning and time
resource allocation for minimum throughput maximization in a multiple UAV-enabled …

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 …

UAV-assisted wireless powered Internet of Things: Joint trajectory optimization and resource allocation

Z Na, M Zhang, J Wang, Z Gao - Ad Hoc Networks, 2020 - Elsevier
Due to affordable price, high mobility and flexible maneuverability, Unmanned Aerial
Vehicle (UAV)-assisted communication can play an important role in the deployment of the …

Deep reinforcement learning based trajectory optimization for UAV-enabled IoT with SWIPT

Y Yang, X Liu - Ad Hoc Networks, 2024 - Elsevier
In scenarios where traditional ground base stations (BS) are unavailable, Unmanned Aerial
Vehicles (UAVs) serve as aerial BS for enabling Internet of Things (IoT) communications …