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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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
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
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