A comprehensive review on artificial intelligence/machine learning algorithms for empowering the future IoT toward 6G era

MR Mahmood, MA Matin, P Sarigiannidis… - IEEE …, 2022 - ieeexplore.ieee.org
The evolution of the wireless network systems over decades has been providing new
services to the users with the help of innovative network and device technologies. In recent …

Distributed convex relaxation for heterogeneous task replication in mobile edge computing

P Dai, B Han, X Wu, H Xing, B Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Mobile edge computing (MEC) is expected to support real-time services at wireless
networks, where task replication is applied to guarantee job completion within a strict …

Deep reinforcement learning for time-energy tradeoff online offloading in MEC-enabled industrial internet of things

X Jiao, H Ou, S Chen, S Guo, Y Qu… - … on Network Science …, 2023 - ieeexplore.ieee.org
Mobile edge computing (MEC) has recently emerged as a promising technology to boost the
integration ability of sensing, transmission and computation in industrial Internet of Things …

Non-Euclidean graph-convolution virtual network embedding for space–air–ground integrated networks

N Chen, S Shen, Y Duan, S Huang, W Zhang, L Tan - Drones, 2023 - mdpi.com
For achieving seamless global coverage and real-time communications while providing
intelligent applications with increased quality of service (QoS), AI-enabled space–air …

Optimization search strategy for task offloading from collaborative edge computing

J Tang, T Qin, Y Xiang, Z Zhou… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Edge computing is a popular paradigm in solving the problems of long time delay and high
energy consumption in Internet of Things (IoT) network, which can effectively realize the IoT …

A joint optimization method for multi-UAV deployment and task scheduling in mobile edge computing with large-scale mobile users

H Ouyang, L Liang, S Li, L Gao - Expert Systems with Applications, 2024 - Elsevier
In the realm of multi-UAV-assisted mobile edge computing (MEC), the joint optimization of
UAV deployment and task scheduling has emerged as a potent approach for mitigating …

Task offloading with enhanced Deep Q-Networks for efficient industrial intelligent video analysis in edge–cloud collaboration

X Ji, F Gong, N Wang, C Du, X Yuan - Advanced Engineering Informatics, 2024 - Elsevier
With the rapid development of 5G and IoT technologies, industrial video surveillance
systems face increasingly significant challenges in processing large-scale data. Traditional …

Dynamic User Association and Computation Offloading in Satellite Edge Computing Networks via Deep Reinforcement Learning

H Zhang, H Zhao, R Liu, X Gao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Satellite mobile edge computing (SMEC) deployed on ultra-dense low Earth orbit (LEO)
satellites with high throughput and low latency can provide ubiquitous computing services …

QoS and Fairness Oriented Dynamic Computation Offloading in the Internet of Vehicles based on Estimate Time of Arrival

C Ling, W Zhang, H He, R Yadav… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The rapid development of Internet of Vehicles (IoV) and Mobile Edge Computing (MEC)
enables vehicles to offload their applications to Roadside Units (RSU). However, without …

An Efficient Cloudlet Deployment Method Based on Approximate Graph Cut in Large-scale WMANs

L Huang, C Huo, X Zhang, H Jia - Applied Intelligence, 2023 - Springer
Mobile edge computing provides a low-latency, high-bandwidth cloud computing
environment for resource-constrained mobile devices by allowing mobile devices to offload …