Indoor Positioning System (IPS) Using Ultra-Wide Bandwidth (UWB)—For Industrial Internet of Things (IIoT)

The integration of the physical and digital world has become increasingly important, and location-based services have become the most sought-after application in the field of the Internet of Things (IoT). This paper delves into the current research on ultra-wideband (UWB) indoor positioning systems...

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Main Authors: Fuhu Che, Qasim Zeeshan Ahmed, Pavlos I. Lazaridis, Pradorn Sureephong, Temitope Alade
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/23/12/5710
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author Fuhu Che
Qasim Zeeshan Ahmed
Pavlos I. Lazaridis
Pradorn Sureephong
Temitope Alade
author_facet Fuhu Che
Qasim Zeeshan Ahmed
Pavlos I. Lazaridis
Pradorn Sureephong
Temitope Alade
author_sort Fuhu Che
collection DOAJ
description The integration of the physical and digital world has become increasingly important, and location-based services have become the most sought-after application in the field of the Internet of Things (IoT). This paper delves into the current research on ultra-wideband (UWB) indoor positioning systems (IPS). It begins by examining the most common wireless communication-based technologies for IPSs followed by a detailed explanation of UWB. Then, it presents an overview of the unique characteristics of UWB technology and the challenges still faced by the IPS implementation. Finally, the paper evaluates the advantages and limitations of using machine learning algorithms for UWB IPS.
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spelling doaj.art-57c0018554854ba4a814709092f6b4312023-11-18T12:35:07ZengMDPI AGSensors1424-82202023-06-012312571010.3390/s23125710Indoor Positioning System (IPS) Using Ultra-Wide Bandwidth (UWB)—For Industrial Internet of Things (IIoT)Fuhu Che0Qasim Zeeshan Ahmed1Pavlos I. Lazaridis2Pradorn Sureephong3Temitope Alade4Department of Computing and Engineering, University of Huddersfield, Huddersfield HD1 3DH, UKDepartment of Computing and Engineering, University of Huddersfield, Huddersfield HD1 3DH, UKDepartment of Computing and Engineering, University of Huddersfield, Huddersfield HD1 3DH, UKCollege of Arts, Media and Technology, Chiang Mai University, Chiang Mai 50200, ThailandDepartment of Computer Science, School of Science and Technology, Nottingham Trent University, Nottingham NG11 8NS, UKThe integration of the physical and digital world has become increasingly important, and location-based services have become the most sought-after application in the field of the Internet of Things (IoT). This paper delves into the current research on ultra-wideband (UWB) indoor positioning systems (IPS). It begins by examining the most common wireless communication-based technologies for IPSs followed by a detailed explanation of UWB. Then, it presents an overview of the unique characteristics of UWB technology and the challenges still faced by the IPS implementation. Finally, the paper evaluates the advantages and limitations of using machine learning algorithms for UWB IPS.https://www.mdpi.com/1424-8220/23/12/5710UWBindoor positioning systemlocalizationmachine learningNLoS
spellingShingle Fuhu Che
Qasim Zeeshan Ahmed
Pavlos I. Lazaridis
Pradorn Sureephong
Temitope Alade
Indoor Positioning System (IPS) Using Ultra-Wide Bandwidth (UWB)—For Industrial Internet of Things (IIoT)
Sensors
UWB
indoor positioning system
localization
machine learning
NLoS
title Indoor Positioning System (IPS) Using Ultra-Wide Bandwidth (UWB)—For Industrial Internet of Things (IIoT)
title_full Indoor Positioning System (IPS) Using Ultra-Wide Bandwidth (UWB)—For Industrial Internet of Things (IIoT)
title_fullStr Indoor Positioning System (IPS) Using Ultra-Wide Bandwidth (UWB)—For Industrial Internet of Things (IIoT)
title_full_unstemmed Indoor Positioning System (IPS) Using Ultra-Wide Bandwidth (UWB)—For Industrial Internet of Things (IIoT)
title_short Indoor Positioning System (IPS) Using Ultra-Wide Bandwidth (UWB)—For Industrial Internet of Things (IIoT)
title_sort indoor positioning system ips using ultra wide bandwidth uwb for industrial internet of things iiot
topic UWB
indoor positioning system
localization
machine learning
NLoS
url https://www.mdpi.com/1424-8220/23/12/5710
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AT pavlosilazaridis indoorpositioningsystemipsusingultrawidebandwidthuwbforindustrialinternetofthingsiiot
AT pradornsureephong indoorpositioningsystemipsusingultrawidebandwidthuwbforindustrialinternetofthingsiiot
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