Dangana, M., Ansari, S. , Abbasi, Q. H. , Hussain, S. and Imran, M. A. (2021) Suitability of NB-IoT for indoor industrial environment: a survey and insights. Sensors, 21(16), 5284. (doi: 10.3390/s21165284)
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Publisher's URL: https://www.mdpi.com/1424-8220/21/16/5284
Abstract
The Internet of Things (IoT) and its applications in industrial settings are set to bring in the fourth industrial revolution. The industrial environment consisting of high profile manufacturing plants and a variety of equipment is inherently characterized by high reflectiveness, causing significant multi-path components that affect the propagation of wireless communications—a challenge among others that needs to be resolved. This paper provides a detailed insight into Narrow-Band IoT (NB-IoT), Industrial IoT (IIoT), and Wireless Sensor Networks (WSN) within the context of indoor industrial environments. It presents the applications of NB-IoT for industrial settings, such as the challenges associated with these applications. Furthermore, future research directions were put forth in the areas of NB-IoT network management using self-organizing network (SON) technology, edge computing for scalability enhancement, security in NB-IoT generated data, and proposing a suitable propagation model for reliable wireless communications.
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | DANGANA, MUHAMMAD and Ansari, Dr Shuja and Abbasi, Professor Qammer and Imran, Professor Muhammad 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, Writing – review and editing Abbasi, Q. H.Resources, Funding acquisition Hussain, S.Formal analysis, Resources, Writing – review and editing, Supervision, Project administration Imran, M. A.Supervision, Project administration |
| Authors: | Dangana, M., Ansari, S., Abbasi, Q. H., Hussain, S., and Imran, M. A. |
| College/School: | College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering College of Science and Engineering > School of Engineering > Systems Power and Energy |
| Journal Name: | Sensors |
| Publisher: | MDPI |
| ISSN: | 1424-8220 |
| ISSN (Online): | 1424-8220 |
| Published Online: | 05 August 2021 |
| Copyright Holders: | Copyright © 2021 The Authors |
| First Published: | First published in Sensors 21(16): 5284 |
| Publisher Policy: | Reproduced under a Creative Commons License |
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Funder and Project Information
Funder and Project Information