Intelligent Computation Offloading Based on Digital Twin-Enabled 6G Industrial IoT

J Wu, R Zuo - Applied Sciences, 2024 - mdpi.com
Digital twin (DT) technology, which can provide larger and more accurate amounts of data,
combined with the additional computility brought by virtual environments, can support more …

Deep reinforcement learning for stochastic computation offloading in digital twin networks

Y Dai, K Zhang, S Maharjan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The rapid development of industrial Internet of Things (IIoT) requires industrial production
towards digitalization to improve network efficiency. Digital Twin is a promising technology to …

Aoi-aware partial computation offloading in iiot with edge computing: A deep reinforcement learning based approach

K Peng, P Xiao, S Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the rapid growth of the Industrial Internet of Things, a large amount of industrial data
that needs to be processed promptly. Edge computing-based computation offloading can …

Intelligent delay-aware partial computing task offloading for multiuser industrial Internet of Things through edge computing

X Deng, J Yin, P Guan, NN Xiong… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The development of Industrial Internet of Things (IIoT) and Industry 4.0 has completely
changed the traditional manufacturing industry. Intelligent IIoT technology usually involves a …

Edge intelligence-driven joint offloading and resource allocation for future 6G industrial Internet of Things

Y Gong, H Yao, J Wang, M Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The 6G will undergo an unprecedented transformation to revolutionize the wireless system
evolution from connected things to connected intelligence. Additionally, data scattered …

A dueling dqn-based computational offloading method in mec-enabled iiot network

CK Hsu - The Computer Journal, 2023 - academic.oup.com
Abstract Industrial Internet of Things (IIoT) is a promising mechanism of Industry 4.0. Mobile
edge computing (MEC) is an emerging mechanism that is an enabler for IoT applications …

Multi-information based cloud-edge-end collaborative computational tasks offloading for industrial IoT systems

X Wu - Physical Communication, 2024 - Elsevier
Cloud-edge-end collaborative computational task offloading (CEETO) is a promising method
in industrial Internet-of-things (IIoT) to support massive computational tasks generated by …

Digital-twin-assisted task offloading based on edge collaboration in the digital twin edge network

T Liu, L Tang, W Wang, Q Chen… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Emerging digital twin (DT) and mobile-edge computing (MEC) are crucial for enabling the
rapid development of 6G. However, the existing works ignore the edge collaboration, which …

Multitask multiobjective deep reinforcement learning-based computation offloading method for industrial Internet of Things

J Cai, H Fu, Y Liu - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Edge computing has emerged as a promising paradigm to deploy computing resources to
the network edge. However, most existing computation offloading strategies consider only …

Task offloading and resource allocation for industrial Internet of Things: A double-dueling deep Q-network approach

W Cheng, X Liu, X Wang, G Nie - IEEE Access, 2022 - ieeexplore.ieee.org
With the development of 5G technology, Mobile Edge Computing (MEC) has become a
promising technology that is widely used in the Industrial Internet of Things (IIoT) and other …