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 …

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 …

STMGCN: Mobile edge computing-empowered vessel trajectory prediction using spatio-temporal multigraph convolutional network

RW Liu, M Liang, J Nie, Y Yuan, Z Xiong… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The revolutionary advances in machine learning and data mining techniques have
contributed greatly to the rapid developments of maritime Internet of Things (IoT). In maritime …

A low-latency edge computation offloading scheme for trust evaluation in finance-level artificial intelligence of things

X Zhu, F Ma, F Ding, Z Guo, J Yang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The finance-level Artificial Intelligence of Things (AIoT) is going to become a novel media in
the 6G-driven digital society. Inside the financial AIoT environment, large-scale crowd credit …

A survey on UAV-aided maritime communications: Deployment considerations, applications, and future challenges

N Nomikos, PK Gkonis, PS Bithas… - IEEE Open Journal of …, 2022 - ieeexplore.ieee.org
Maritime activities represent a major domain of economic growth with several emerging
maritime Internet of Things use cases, such as smart ports, autonomous navigation, and …

[HTML][HTML] A survey of applications of artificial intelligence and machine learning in future mobile networks-enabled systems

İ Yazici, I Shayea, J Din - … Science and Technology, an International Journal, 2023 - Elsevier
Different fields have been thriving with the advents in mobile communication systems in
recent years. These fields reap benefits of data collected by Internet of Things (IoT) in next …

Deep reinforcement learning based resource allocation in multi-UAV-aided MEC networks

J Chen, X Cao, P Yang, M Xiao, S Ren… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Resource allocation for mobile edge computing (MEC) in unmanned aerial vehicle (UAV)
networks has been a popular research issue. Different from existing works, this paper …

UAV-assisted multi-access computation offloading via hybrid NOMA and FDMA in marine networks

M Dai, Y Wu, L Qian, Z Su, B Lin… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the rapid development of marine networks, there have been growing demands for
computation-intensive and delay-sensitive marine applications and services. However, the …

Aerial edge computing: A survey

Q Zhang, Y Luo, H Jiang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
In the beyond 5G/6G era, aerial edge computing (AEC) is expected to be used as significant
components in Internet of Things. AEC brings flexible deployment with Line-of-Sight …

Unmanned-aerial-vehicle-assisted wireless networks: Advancements, challenges, and solutions

M Dai, N Huang, Y Wu, J Gao… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The rapid development of communication and computing techniques enables unmanned
aerial vehicles (UAVs) to provide reliable and cost-effective wireless communication and …