Dangana, M., Ansari, S. , Asad, S. M., Hussain, S. and Imran, M. A. (2022) Towards the Digital Twin (DT) of narrow-band Internet of Things (NBIoT) wireless communication in industrial indoor environment. Sensors, 22(23), 9039. (doi: 10.3390/s22239039)
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Abstract
A study of the behavior of NB-IoT wireless communication in an industrial indoor environment was conducted in this paper. With Wireless Insite software, a scenario in the industrial sector was simulated and modeled. Our research examined how this scenario or environment affected the communication parameters of NB-IoT’s physical layer. In this context, throughput levels among terminals as well as between terminals and transceiver towers, the power received at signal destination points, signal-to-noise ratios (SNRs) in the environment, and distances between terminals and transceivers are considered. These simulated results are also compared with the calculated or theoretical values of these parameters. The results show the effect of the industrial setting on wireless communication. The differences between the theoretical and simulated values are also established.
| Item Type: | Articles |
|---|---|
| Additional Information: | This research was fully funded by Petroleum Technology Development Fund (PTDF) - 1671/19 and the APC was funded by Multidisciplinary Digital Publishing Institute (Switzerland). |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | DANGANA, MUHAMMAD and Ansari, Dr Shuja and Imran, Professor Muhammad and Asad, Syed and Hussain, Dr Sajjad |
| Creator Roles: | Dangana, M.Conceptualization, Methodology, Software, Writing – original draft, Writing – review and editing, Visualization Ansari, S.Software, Formal analysis, Resources Asad, S. M.Resources, Writing – review and editing Hussain, S.Formal analysis, Resources, Supervision, Project administration Imran, M. A.Supervision, Project administration |
| Authors: | Dangana, M., Ansari, S., Asad, S. M., Hussain, S., and Imran, M. A. |
| College/School: | College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity |
| Journal Name: | Sensors |
| Publisher: | MDPI |
| ISSN: | 1424-8220 |
| ISSN (Online): | 1424-8220 |
| Published Online: | 22 November 2022 |
| Copyright Holders: | Copyright © 2022 The Authors |
| First Published: | First published in Sensors 22(23): 9039 |
| Publisher Policy: | Reproduced under a Creative Commons License |
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