[HTML][HTML] Survey on computation offloading in UAV-Enabled mobile edge computing

SMA Huda, S Moh - Journal of Network and Computer Applications, 2022 - Elsevier
With the increasing growth of internet-of-things (IoT) devices, effective computation
performance has become a critical issue. Many services provided by IoT devices (eg …

Towards 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 …

Multi-agent deep reinforcement learning for task offloading in UAV-assisted mobile edge computing

N Zhao, Z Ye, Y Pei, YC Liang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Mobile edge computing can effectively reduce service latency and improve service quality
by offloading computation-intensive tasks to the edges of wireless networks. Due to the …

Mobile edge computing and machine learning in the internet of unmanned aerial vehicles: a survey

Z Ning, H Hu, X Wang, L Guo, S Guo, G Wang… - ACM Computing …, 2023 - dl.acm.org
Unmanned Aerial Vehicles (UAVs) play an important role in the Internet of Things and form
the paradigm of the Internet of UAVs, due to their characteristics of flexibility, mobility, and …

Privacy-preserving federated learning for UAV-enabled networks: Learning-based joint scheduling and resource management

H Yang, J Zhao, Z Xiong, KY Lam… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are capable of serving as flying base stations (BSs) for
supporting data collection, machine learning (ML) model training, and wireless …

Computing in the sky: A survey on intelligent ubiquitous computing for uav-assisted 6g networks and industry 4.0/5.0

SH Alsamhi, AV Shvetsov, S Kumar, J Hassan… - Drones, 2022 - mdpi.com
Unmanned Aerial Vehicles (UAVs) are increasingly being used in a high-computation
paradigm enabled with smart applications in the Beyond Fifth Generation (B5G) wireless …

Collaborative computation offloading and resource allocation in multi-UAV-assisted IoT networks: A deep reinforcement learning approach

AM Seid, GO Boateng, S Anokye… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
In the fifth-generation (5G) wireless networks, Edge-Internet-of-Things (EIoT) devices are
envisioned to generate huge amounts of data. Due to the limitation of computation capacity …

AI for UAV-assisted IoT applications: A comprehensive review

N Cheng, S Wu, X Wang, Z Yin, C Li… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
With the rapid development of the Internet of Things (IoT), there are a dramatically
increasing number of devices, leading to the fact that only using terrestrial infrastructure can …

Online edge learning offloading and resource management for UAV-assisted MEC secure communications

Y Ding, Y Feng, W Lu, S Zheng, N Zhao… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
The mobile and flexible unmanned aerial vehicle (UAV) with mobile edge computing (MEC)
can effectively relieve the computing pressure of the massive data traffic in 5G Internet of …

Energy efficient computation offloading in aerial edge networks with multi-agent cooperation

W Liu, B Li, W Xie, Y Dai, Z Fei - IEEE Transactions on Wireless …, 2023 - ieeexplore.ieee.org
With the high flexibility of supporting resource-intensive and time-sensitive applications,
unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) is proposed as an …