research-article

An indoor navigation platform for seeking Internet of Things devices in large indoor environment

Authors:

Charles Gouin-Vallerand,

Simon RousseauAuthors Info & Claims

GoodTechs '19: Proceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good

Pages 108 - 113

https://doi.org/10.1145/3342428.3342652

Published: 25 September 2019 Publication History

Abstract

With the proliferation of mobile Internet of Things (IoT) devices, finding those devices for maintenance or for a reattribution can be a long and difficult process, particularly in large institutions such as hospitals with hundreds of devices. With the availability of wireless networks, it is now possible to track those IoT devices and locate them in outdoors as well as in indoor environments. In this paper, we are presenting the results of the development and deployment of a system that combines (i) the tracking of Internet of Things (IoT) devices in large indoor environments via microlocalization algorithms, and (ii) an indoor navigation systems to reach those IoT devices. This project was deployed in a large hospital environment in Canada of 12 floors and more than 350 WiFi access points. The results show that it is possible to locate those devices with a precision of around 3 square-meters and to propose effective tools for technicians to seek them in large indoor environments.

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Cited By

Wichmann JPaetow TLeyer MAweno BSandkuhl K(2024)Determining design criteria for indoor positioning system projects in hospitals: A design science approachDIGITAL HEALTH10.1177/2055207624122914810Online publication date: 14-Feb-2024
https://doi.org/10.1177/20552076241229148
Talavera FLera IGuerrero C(2022)Analysis of wireless network access logs for a hierarchical characterization of user mobilityJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2022.03.01434:6(2471-2487)Online publication date: Jun-2022
https://doi.org/10.1016/j.jksuci.2022.03.014

Index Terms

An indoor navigation platform for seeking Internet of Things devices in large indoor environment
1. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Ubiquitous and mobile computing systems and tools
2. Networks
  1. Network services
    1. Location based services

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cover image ACM Other conferences

GoodTechs '19: Proceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good

September 2019

272 pages

ISBN:9781450362610

DOI:10.1145/3342428

General Chairs:
Armir Bujari
Università di Padova, Italy
,
Pietro Manzoni
Universitat Politecnica de Valencia, Spain
,
Program Chairs:
Anna Forster
University of Bremen, Germany
,
Edjair Mota
UFAM, Brazil
,
Ombretta Gaggi
Università di Padova, Italy

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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EAI: The European Alliance for Innovation

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 September 2019

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Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada

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GoodTechs '19

GoodTechs '19: EAI International Conference on Smart Objects and Technologies for Social Good

September 25 - 27, 2019

Valencia, Spain

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Cited By

Wichmann JPaetow TLeyer MAweno BSandkuhl K(2024)Determining design criteria for indoor positioning system projects in hospitals: A design science approachDIGITAL HEALTH10.1177/2055207624122914810Online publication date: 14-Feb-2024
https://doi.org/10.1177/20552076241229148
Talavera FLera IGuerrero C(2022)Analysis of wireless network access logs for a hierarchical characterization of user mobilityJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2022.03.01434:6(2471-2487)Online publication date: Jun-2022
https://doi.org/10.1016/j.jksuci.2022.03.014

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