Hany, M.
and Candell, R.
(2023),
A Deep Learning Framework for Industrial Wireless Networks, Technical Note (NIST TN), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.TN.2257, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=956211
(Accessed April 28, 2024)
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A Deep Learning Framework for Industrial Wireless Networks
Published
Author(s)
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Abstract
In this report, we introduce a framework to analyze, monitor, and identify the state of industrial wireless networks and their impact on industrial use cases. This framework is based on a deep learning approach for modeling the interactions between the wireless network and industrial use cases. The framework uses the information from different system layers including the spectrum measurements, physical layer metrics, network layer packets, and application layer production-related metrics in order to study the industrial wireless network behavior. The output of the framework can be generally used to improve system management and optimization functions.Citation
Technical Note (NIST TN) - 2257
Report Number
2257
NIST Pub Series
Pub Type
NIST Pubs
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Keywords
cyber-physical system modeling, deep learning, industrial wireless, system identification.
Citation
Created July 25, 2023