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 …

Reinforcement learning methods for computation offloading: a systematic review

Z Zabihi, AM Eftekhari Moghadam… - ACM Computing …, 2023 - dl.acm.org
Today, cloud computation offloading may not be an appropriate solution for delay-sensitive
applications due to the long distance between end-devices and remote datacenters. In …

A blockchain-based scheme for secure data offloading in healthcare with deep reinforcement learning

Q He, Z Feng, H Fang, X Wang, L Zhao… - … /ACM Transactions on …, 2023 - ieeexplore.ieee.org
With the widespread popularity of the Internet of Things and various intelligent medical
devices, the amount of medical data is rising sharply, and thus medical data processing has …

DRL-driven dynamic resource allocation for task-oriented semantic communication

H Zhang, H Wang, Y Li, K Long… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Semantic communication has been regarded as a promising technology to serve upcoming
intelligent applications. However, few studies have addressed the problem of resource …

RADiT: Resource allocation in digital twin-driven UAV-aided internet of vehicle networks

B Hazarika, K Singh, CP Li… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
Digital twin (DT) has emerged as a promising technology for improving resource allocation
decisions in Internet of Vehicles (IoV) networks. In this paper, we consider an IoV network …

Multi-objective deep reinforcement learning for computation offloading in UAV-assisted multi-access edge computing

X Liu, ZY Chai, YL Li, YY Cheng, Y Zeng - Information Sciences, 2023 - Elsevier
Unmanned aerial vehicle-assisted multi-access edge computing (UAV-MEC) plays an
important role in some complex environments such as mountainous and disaster areas …

Entropy-based reinforcement learning for computation offloading service in software-defined multi-access edge computing

K Li, X Wang, Q Ni, M Huang - Future Generation Computer Systems, 2022 - Elsevier
The rapid growth of Internet of Things (IoT) devices and the emergence of multiple edge
applications have resulted in an explosive growth of data traffic at the edge of the networks …

[HTML][HTML] A comprehensive survey on reinforcement-learning-based computation offloading techniques in Edge Computing Systems

D Hortelano, I de Miguel, RJD Barroso… - Journal of Network and …, 2023 - Elsevier
In recent years, the number of embedded computing devices connected to the Internet has
exponentially increased. At the same time, new applications are becoming more complex …

A deep learning approach for task offloading in multi-UAV aided mobile edge computing

MA Ebrahim, GA Ebrahim, HK Mohamed… - IEEE …, 2022 - ieeexplore.ieee.org
Computation offloading has proven to be an effective method for facilitating resource-
intensive tasks on IoT mobile edge nodes with limited processing capabilities. Additionally …

Stackelberg game-based intelligent offloading incentive mechanism for a multi-UAV-assisted mobile edge computing system

M Wang, L Zhang, P Gao, X Yang… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
We study the intelligent offloading problem for a multiple unmanned aerial vehicle (multi-
UAV)-assisted mobile-edge computing (MEC) system in an MEC scenario where a natural …