dc.contributor.author |
Hlophe, Mduduzi Comfort
|
|
dc.contributor.author |
Maharaj, Bodhaswar Tikanath Jugpershad
|
|
dc.date.accessioned |
2024-03-08T09:14:02Z |
|
dc.date.available |
2024-03-08T09:14:02Z |
|
dc.date.issued |
2023-12-14 |
|
dc.description |
AUTHOR CONTRIBUTIONS : The authors contributed equally in this work. All authors have read and
agreed to the published version of the manuscript. |
en_US |
dc.description.abstract |
As a result of the new telecommunication ecosystem landscape, wireless communication
has become an interdisciplinary field whose future is shaped by several interacting dimensions. These
interacting dimensions, which form the cyber–physical convergence, closely link the technological
perspective to its social, economic, and cognitive sciences counterparts. Beyond the current operational
framework of the Internet of Things (IoT), network devices will be equipped with capabilities
for learning, thinking, and understanding so that they can autonomously make decisions and take
appropriate actions. Through this autonomous operation, wireless networking will be ushered into
a paradigm that is primarily inspired by the efficient and effective use of (i) AI strategies, (ii) big
data analytics, as well as (iii) cognition. This is the Cognitive Internet of People Processes Data and
Things (CIoPPD&T), which can be defined in terms of the cyber–physical convergence. In this article,
through the discussion of how the cyber–physical convergence and the interacting dynamics of the
socio-technical ecosystem are enablers of digital twins (DTs), the network DT (NDT) is discussed in
the context of 6G networks. Then, the design and realization of edge computing-based NDTs are
discussed, which culminate with the vehicle-to-edge (V2E) use cases. |
en_US |
dc.description.department |
Electrical, Electronic and Computer Engineering |
en_US |
dc.description.librarian |
am2024 |
en_US |
dc.description.sdg |
SDG-09: Industry, innovation and infrastructure |
en_US |
dc.description.sponsorship |
The Sentech Chair in Broadband Wireless and Multimedia Communication (BWMC) at the University of Pretoria. |
en_US |
dc.description.uri |
https://www.mdpi.com/journal/applsci |
en_US |
dc.identifier.citation |
Hlophe, M.C.; Maharaj, B.T.
From Cyber–Physical Convergence to
Digital Twins: A Review on Edge
Computing Use Case Designs. Applied Sciences 2023, 13, 13262. https://DOI.org/10.3390/app132413262. |
en_US |
dc.identifier.issn |
2076-3417 |
|
dc.identifier.other |
10.3390/app132413262 |
|
dc.identifier.uri |
http://hdl.handle.net/2263/95114 |
|
dc.language.iso |
en |
en_US |
dc.publisher |
MDPI |
en_US |
dc.rights |
© 2023 by the authors.
Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and
conditions of the Creative Commons
Attribution (CC BY) license. |
en_US |
dc.subject |
Big data |
en_US |
dc.subject |
Big data analytics |
en_US |
dc.subject |
Cyber–physical convergence |
en_US |
dc.subject |
Day 3 |
en_US |
dc.subject |
Digital twin |
en_US |
dc.subject |
Edge computing |
en_US |
dc.subject |
Open RAN |
en_US |
dc.subject |
Internet of Things (IoT) |
en_US |
dc.subject |
Artificial intelligence (AI) |
en_US |
dc.subject |
Sixth generation (6G) |
en_US |
dc.subject |
Cognitive Internet of people processes data and things (CIoPPD&T) |
en_US |
dc.subject |
Digital twins (DTs) |
en_US |
dc.subject |
Network digital twins (NDT) |
en_US |
dc.subject |
SDG-09: Industry, innovation and infrastructure |
en_US |
dc.title |
From cyber-physical convergence to digital twins : a review on edge computing use case designs |
en_US |
dc.type |
Article |
en_US |