Multi-UAV path learning for age and power optimization in IoT with UAV battery recharge

E Eldeeb, JM de Souza Sant'Ana… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
In many emerging Internet of Things (IoT) applications, the freshness of the is an important
design criterion. Age of Information (AoI) quantifies the freshness of the received information …

Multi-objective optimization for UAV-assisted wireless powered IoT networks based on extended DDPG algorithm

Y Yu, J Tang, J Huang, X Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This paper studies an unmanned aerial vehicle (UAV)-assisted wireless powered IoT
network, where a rotary-wing UAV adopts fly-hover-communicate protocol to successively …

Energy-efficient trajectory optimization for UAV-assisted IoT networks

L Zhang, A Celik, S Dang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this paper, we propose and study an energy-efficient trajectory optimization scheme for
unmanned aerial vehicle (UAV) assisted Internet of Things (IoT) networks. In such networks …

Joint power and trajectory optimization for IRS-aided master-auxiliary-UAV-powered IoT networks

J Xu, X Kang, R Zhang, YC Liang - 2021 IEEE Global …, 2021 - ieeexplore.ieee.org
In this paper, we propose a novel Intelligent Reflected Surface (IRS)-aided Master-Auxiliary-
Unmanned Aerial Vehicle (UAV)-powered Internet of Things (IoT) Network (IRS-MAIN) …

Multi-agent learning-based optimal task offloading and UAV trajectory planning for AGIN-power IoT

P Qin, Y Fu, Y Xie, K Wu, X Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
UAV-based air-ground integrated computing networks (AGIN) have gained significant
traction in remote areas for the Power Internet of Things (PIoT). This paper considers an …

Joint 3-D trajectory and resource optimization in multi-UAV-enabled IoT networks with wireless power transfer

W Luo, Y Shen, B Yang, S Wang… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
This article studies the data collection problem in an Internet-of-Things (IoT) network with
multiple unmanned aerial vehicles (UAVs) where UAVs first power multiple IoT devices by …

Deep reinforcement learning for real-time trajectory planning in UAV networks

K Li, W Ni, E Tovar, M Guizani - 2020 International Wireless …, 2020 - ieeexplore.ieee.org
In Unmanned Aerial Vehicle (UAV)-enabled wireless powered sensor networks, a UAV can
be employed to charge the ground sensors remotely via Wireless Power Transfer (WPT) and …

Energy‐Efficient UAV Trajectory Design with Information Freshness Constraint via Deep Reinforcement Learning

X Li, J Li, D Liu - Mobile Information Systems, 2021 - Wiley Online Library
Unmanned aerial vehicle (UAV) technique with flexible deployment has enabled the
development of Internet of Things (IoT) applications. However, it is difficult to guarantee the …

Adaptive and extensible energy supply mechanism for UAVs-aided wireless-powered Internet of Things

P Wu, F Xiao, H Huang, C Sha… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
This article studies multiple unmanned aerial vehicles (multi-UAVs)-enabled wireless-
powered Internet of Things (IoT), where a group of UAVs is dispatched as mobile power …

Constrained soft actor-critic for energy-aware trajectory design in UAV-aided IoT networks

X Zhou, X Zhang, H Zhao, J Xiong… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
This letter investigates an unmanned aerial vehicle (UAV)-aided data collection system,
where a UAV is deployed to gather information from terrestrial Internet of Things (IoT) …