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A survey of indoor location technologies, techniques and applications in industry

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journal contribution
posted on 2022-09-07, 07:50 authored by Steven Hayward, Kate Van-Lopik, Christopher Hinde, Andrew WestAndrew West

The recent academic research surrounding indoor positioning systems (IPS) and indoor location-based services (ILBS) are reviewed to establish the current state-of-the-art for IPS and ILBS. This review is focused on the use of IPS / ILBS for cyber-physical systems to support secure and safe asset management (including people as assets), exploring the potential applications of IPS for industry as suggested in the literature. Current application areas in industry are presented, separated into physical item and human traceability applications for context. The literature are reviewed to identify gaps in the ILBS development for industrial applications, future research needs to focus a development framework to enable scalable solutions for industry. The key gaps identified in the literature are: (i) a lack of pathways to extend IPS research into an ILBS, (ii) no end-to-end ILBS have been developed and (iii) no framework has been reported that outlines the information pathways from sensor data collection and location information to an established ILBS. The technologies reviewed are presented in a comparison table (Table 1) intended as a reference for selecting technologies for future systems based on requirements. The techniques used to extract location information from each of the technologies identified are also explored stating current accuracy and aligning the techniques with their suitable technologies.

Funding

Adaptive Informatics for Intelligent Manufacturing (AI2M)

Engineering and Physical Sciences Research Council

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EPSRC Centre for Doctoral Training in Embedded Intelligence

Engineering and Physical Sciences Research Council

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History

School

  • Mechanical, Electrical and Manufacturing Engineering
  • Science

Department

  • Computer Science

Published in

Internet of Things

Volume

20

Issue

2022

Publisher

Elsevier

Version

  • VoR (Version of Record)

Rights holder

© The Author(s)

Publisher statement

This is an Open Access Article. It is published by Elsevier under the Creative Commons Attribution 4.0 International Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/

Acceptance date

2022-08-25

Publication date

2022-08-27

Copyright date

2022

eISSN

2542-6605

Language

  • en

Depositor

Steven Hayward. Deposit date: 6 September 2022

Article number

100608

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