Robust risk-sensitive task offloading for edge-enabled industrial Internet of Things

S Zhou, A Ali, A Al-Fuqaha, M Omar… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Edge-enabled Industrial Internet of Things (E-IIoT) has gained massive attention as a new
type of IIoT for hosting emerging low-latency applications. However, due to device variations …

Unmanned aerial vehicle‐aided edge networks with ultra‐reliable low‐latency communications: A digital twin approach

Y Li, DV Huynh, T Do‐Duy… - IET Signal …, 2022 - Wiley Online Library
A digital twin (DT) framework for Internet‐of‐thing (IoT) networks is proposed where
unmanned aerial vehicles (UAVs) acting as flying mobile edge computing (MEC) servers …

Intelligent edge computing enabled reliable emergency data transmission and energy efficient offloading in 6TiSCH-based IIoT networks

A Rafiq, MSA Muthanna, A Muthanna… - Sustainable Energy …, 2022 - Elsevier
The evolution of 6TiSCH networks is greatly increasing in the field of IIoT which supports
reliable communication in IIoT environments. However, there is a lot of research gaps in the …

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 …

[Retracted] Mitigation Impact of Energy and Time Delay for Computation Offloading in an Industrial IoT Environment Using Levenshtein Distance Algorithm

A Rafiq, P Wang, M Wei… - Security and …, 2022 - Wiley Online Library
Due to the explosive growth of the Internet of things (IoT) devices and the emergence of
diverse new applications, network traffic volume is growing exponentially. The traditional …

Joint Trajectory Design and Resource Allocation in UAV-Enabled Heterogeneous MEC Systems

W Liu, H Wang, X Zhang, H Xing, J Ren… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
This paper considers a heterogeneous mobile edge computing (HMEC) system with multiple
energy-limited Internet of Things (IoT) devices and an unmanned aerial vehicle (UAV). The …

Analyzing vertical and horizontal offloading in federated cloud and edge computing systems

K Akutsu, T Phung-Duc, YC Lai, YD Lin - Telecommunication Systems, 2022 - Springer
Abstract Mobile Edge Computing architecture is one of the most promising architectures that
can satisfy different quality of Services required by various applications. In this paper, we …

Latency Management in Task Offloading from IoT to MEC

EF Siddiqui, S Nayak - International Journal of Computing and …, 2023 - journals.uob.edu.bh
Mobile Edge Computing is a state-of-art technology which is being used to providereal-time
environment by computing and responding in shorter timelines to the IoT generated …

Task Offloading Strategy for Mobile Edge Computing in Industrial Internet of Things

B Huang, X He, J Feng, X Xiao, X He… - … Conference on Artificial …, 2023 - ieeexplore.ieee.org
The rapid advancement of the Industrial Internet of Things (IIoT) has facilitated real-time
information exchange and accelerated data analysis and processing. Nevertheless, the …

Enhanced Slime Mould Optimization with Deep-Learning-Based Resource Allocation in UAV-Enabled Wireless Networks

R Alkanhel, A Rafiq, E Mokrov, A Khakimov… - Sensors, 2023 - mdpi.com
Unmanned aerial vehicle (UAV) networks offer a wide range of applications in an overload
situation, broadcasting and advertising, public safety, disaster management, etc. Providing …