Real-time performance of industrial IoT communication technologies: A review

I Behnke, H Austad - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
With the growing need for automation and the ongoing merge of OT and IT, industrial
networks have to transport a high amount of heterogeneous data with mixed criticality, such …

An autonomous computation offloading strategy in Mobile Edge Computing: A deep learning-based hybrid approach

A Shakarami, A Shahidinejad… - Journal of Network and …, 2021 - Elsevier
The fast growth of under develo** internet-based technologies has been leading to
propose promising methods to handle the heterogeneous massive volume of data produced …

A Survey of Industrial AIoT: Opportunities, Challenges, and Directions

KS Awaisi, Q Ye, S Sampalli - IEEE Access, 2024 - ieeexplore.ieee.org
Internet of Things (IoT) is an important technology employed in a variety of different
applications, such as transportation, healthcare, and manufacturing. In recent years, the …

Detection and classification of human activity for emergency response in smart factory shop floor

CI Nwakanma, FB Islam, MP Maharani, JM Lee… - Applied Sciences, 2021 - mdpi.com
Factory shop floor workers are exposed to threats and accidents due to their encounters with
tools, equipment, and toxic materials. There are cases of occupational accidents resulting in …

HAMEC-RSMA: Enhanced aerial computing systems with rate splitting multiple access

TP Truong, NN Dao, S Cho - IEEE Access, 2022 - ieeexplore.ieee.org
Aerial networks have been widely considered a crucial component for ubiquitous coverage
in the next-generation mobile networks. In this scenario, mobile edge computing (MEC) and …

Performance optimization of serverless computing for latency-guaranteed and energy-efficient task offloading in energy-harvesting industrial IoT

H Ko, S Pack, VCM Leung - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Serverless architecture enables various intelligent applications to be run without managing
infrastructure. In this architecture, the computing cost is generally proportional to the number …

Task and resource allocation in the internet of things based on an improved version of the moth-flame optimization algorithm

M Nematollahi, A Ghaffari, A Mirzaei - Cluster Computing, 2024 - Springer
Abstract The Internet of Things (IoT) technology is used to develop a wide range of
applications and services, including intelligent healthcare systems and virtual reality …

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 …

A parallel computing based model for online binary computation offloading in mobile edge computing

A Acheampong, Y Zhang, X Xu - Computer Communications, 2023 - Elsevier
Mobile-edge computing (MEC) with wireless power transfer has recently emerged as a
viable concept for improving the data processing capacity of limited powered networks like …

Multi-objective whale optimization algorithm for computation offloading optimization in mobile edge computing

M Huang, Q Zhai, Y Chen, S Feng, F Shu - Sensors, 2021 - mdpi.com
Computation offloading is one of the most important problems in edge computing. Devices
can transmit computation tasks to servers to be executed through computation offloading …