Toward autonomous multi-UAV wireless network: A survey of reinforcement learning-based approaches

Y Bai, H Zhao, X Zhang, Z Chang… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV)-based wireless networks have received increasing
research interest in recent years and are gradually being utilized in various aspects of our …

A survey of UAV-based data collection: Challenges, solutions and future perspectives

K Messaoudi, OS Oubbati, A Rachedi, A Lakas… - Journal of network and …, 2023 - Elsevier
Abstract Internet of Things (IoT) generates unlimited data, which should be collected and
forwarded towards a central controller (CC) for further processing and decision-making …

When internet of things meets metaverse: Convergence of physical and cyber worlds

K Li, Y Cui, W Li, T Lv, X Yuan, S Li, W Ni… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
In recent years, the Internet of Things (IoT) has been studied in the context of the Metaverse
to provide users with immersive cyber-virtual experiences in mixed-reality environments …

Optimizing federated learning in distributed industrial IoT: A multi-agent approach

W Zhang, D Yang, W Wu, H Peng… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
In this paper, we aim to make the best joint decision of device selection and computing and
spectrum resource allocation for optimizing federated learning (FL) performance in …

Machine learning-aided operations and communications of unmanned aerial vehicles: A contemporary survey

H Kurunathan, H Huang, K Li, W Ni… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Over the past decade, Unmanned Aerial Vehicles (UAVs) have provided pervasive, efficient,
and cost-effective solutions for data collection and communications. Their excellent mobility …

Applications of artificial intelligence and machine learning in smart cities

Z Ullah, F Al-Turjman, L Mostarda… - Computer Communications, 2020 - Elsevier
Smart cities are aimed to efficiently manage growing urbanization, energy consumption,
maintain a green environment, improve the economic and living standards of their citizens …

Data and model poisoning backdoor attacks on wireless federated learning, and the defense mechanisms: A comprehensive survey

Y Wan, Y Qu, W Ni, Y **ang, L Gao… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Due to the greatly improved capabilities of devices, massive data, and increasing concern
about data privacy, Federated Learning (FL) has been increasingly considered for …

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

H Hu, K **ong, 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 …

A survey on resource management in joint communication and computing-embedded SAGIN

Q Chen, Z Guo, W Meng, S Han, C Li… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
The advent of the 6G era aims for ubiquitous connectivity, with the integration of non-
terrestrial networks (NTN) offering extensive coverage and enhanced capacity. As …

3D UAV trajectory and data collection optimisation via deep reinforcement learning

KK Nguyen, TQ Duong, T Do-Duy… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are now beginning to be deployed for enhancing the
network performance and coverage in wireless communication. However, due to the …