[HTML][HTML] A survey of energy optimization approaches for computational task offloading and resource allocation in MEC networks

J Yang, AA Shah, D Pezaros - Electronics, 2023 - mdpi.com
With the increased penetration of cloud computing and virtualization, a plethora of internet of
things devices have been deployed globally. As a result, computationally intensive tasks are …

5G deployment models and configuration choices for industrial cyber-physical systems–A state of art overview

R Muzaffar, M Ahmed, E Sisinni… - … on Industrial Cyber …, 2023 - ieeexplore.ieee.org
The digital transformation of Industry 4.0 is driven by the automation of manufacturing
processes. In this context, communication plays a vital role and the emergence of 5G …

Privacy-preserving offloading scheme in multi-access mobile edge computing based on MADRL

G Wu, X Chen, Z Gao, H Zhang, S Yu, S Shen - Journal of Parallel and …, 2024 - Elsevier
With the development of industrialization and intelligence, the Industrial Internet of Things
(IIoT) has gradually become the direction for traditional industries to transform into modern …

A parallel intelligence-driven resource scheduling scheme for digital twins-based intelligent vehicular systems

J Yang, F Lin, C Chakraborty, K Yu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Real-time digital twin technology can enhance traffic safety of intelligent vehicular system
and provide scientific strategies for intelligent traffic management. At the same time, real …

Dynamic transmission and computation resource optimization for dense LEO satellite assisted mobile-edge computing

C Ding, JB Wang, M Cheng, M Lin… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
A dense satellite-terrestrial integrated mobile-edge computing network (SATIMECN)
architecture is developed to meet the computing demands for next generation networks. We …

Joint offloading scheduling and resource allocation in vehicular edge computing: A two layer solution

J Gao, Z Kuang, J Gao, L Zhao - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) is a promising paradigm for autonomous driving. It can
reduce delay and energy consumption of tasks. The problem of joint task offloading …

Online optimal service selection, resource allocation and task offloading for multi-access edge computing: A utility-based approach

W Chu, P Yu, Z Yu, JCS Lui… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Multi-access edge computing promises satisfactory user experience by offloading tasks to
the MEC server deployed at the network edge. However, since the MEC server is often …

A many-objective optimization based intelligent intrusion detection algorithm for enhancing security of vehicular networks in 6G

Z Zhang, Y Cao, Z Cui, W Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With accelerated ensemble of the Internet of Things technology and automotive industry,
vehicular network has been established as powerful tools. However, it is a significant …

QoE-driven edge caching in vehicle networks based on deep reinforcement learning

C Song, W Xu, T Wu, S Yu, P Zeng… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The Internet of vehicles (IoV) is a large information interaction network that collects
information on vehicles, roads and pedestrians. One of the important uses of vehicle …

Multiobjective optimization for joint task offloading, power assignment, and resource allocation in mobile edge computing

P Wang, K Li, B **ao, K Li - IEEE internet of things journal, 2021 - ieeexplore.ieee.org
Mobile edge computing (MEC) is an emerging computational paradigm for providing storage
and computing capabilities in network edge, to improve the experience of users, to shorten …