Suitability of NB-IoT for indoor industrial environment: a survey and insights

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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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:Ansari, Dr Shuja and Abbasi, Dr Qammer and DANGANA, MUHAMMAD 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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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
304896EPSRC-IAA: Early Stage Commercialisation of a PET Imaging Agent for the Detection of Cardiovascular Disease and CancerAndrew SutherlandEngineering and Physical Sciences Research Council (EPSRC)EP/R511705/1Chemistry