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An Indoor Location-Based Control System Using Bluetooth Beacons for IoT Systems

The indoor location-based control system estimates the indoor position of a user to provide the service he/she requires. The major elements involved in the system are the localization server, service-provision client, user application positioning technology. The localization server controls access o...

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Detalles Bibliográficos
Autores principales: Huh, Jun-Ho, Seo, Kyungryong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5750778/
https://www.ncbi.nlm.nih.gov/pubmed/29257044
http://dx.doi.org/10.3390/s17122917
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author Huh, Jun-Ho
Seo, Kyungryong
author_facet Huh, Jun-Ho
Seo, Kyungryong
author_sort Huh, Jun-Ho
collection PubMed
description The indoor location-based control system estimates the indoor position of a user to provide the service he/she requires. The major elements involved in the system are the localization server, service-provision client, user application positioning technology. The localization server controls access of terminal devices (e.g., Smart Phones and other wireless devices) to determine their locations within a specified space first and then the service-provision client initiates required services such as indoor navigation and monitoring/surveillance. The user application provides necessary data to let the server to localize the devices or allow the user to receive various services from the client. The major technological elements involved in this system are indoor space partition method, Bluetooth 4.0, RSSI (Received Signal Strength Indication) and trilateration. The system also employs the BLE communication technology when determining the position of the user in an indoor space. The position information obtained is then used to control a specific device(s). These technologies are fundamental in achieving a “Smart Living”. An indoor location-based control system that provides services by estimating user’s indoor locations has been implemented in this study (First scenario). The algorithm introduced in this study (Second scenario) is effective in extracting valid samples from the RSSI dataset but has it has some drawbacks as well. Although we used a range-average algorithm that measures the shortest distance, there are some limitations because the measurement results depend on the sample size and the sample efficiency depends on sampling speeds and environmental changes. However, the Bluetooth system can be implemented at a relatively low cost so that once the problem of precision is solved, it can be applied to various fields.
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spelling pubmed-57507782018-01-10 An Indoor Location-Based Control System Using Bluetooth Beacons for IoT Systems Huh, Jun-Ho Seo, Kyungryong Sensors (Basel) Article The indoor location-based control system estimates the indoor position of a user to provide the service he/she requires. The major elements involved in the system are the localization server, service-provision client, user application positioning technology. The localization server controls access of terminal devices (e.g., Smart Phones and other wireless devices) to determine their locations within a specified space first and then the service-provision client initiates required services such as indoor navigation and monitoring/surveillance. The user application provides necessary data to let the server to localize the devices or allow the user to receive various services from the client. The major technological elements involved in this system are indoor space partition method, Bluetooth 4.0, RSSI (Received Signal Strength Indication) and trilateration. The system also employs the BLE communication technology when determining the position of the user in an indoor space. The position information obtained is then used to control a specific device(s). These technologies are fundamental in achieving a “Smart Living”. An indoor location-based control system that provides services by estimating user’s indoor locations has been implemented in this study (First scenario). The algorithm introduced in this study (Second scenario) is effective in extracting valid samples from the RSSI dataset but has it has some drawbacks as well. Although we used a range-average algorithm that measures the shortest distance, there are some limitations because the measurement results depend on the sample size and the sample efficiency depends on sampling speeds and environmental changes. However, the Bluetooth system can be implemented at a relatively low cost so that once the problem of precision is solved, it can be applied to various fields. MDPI 2017-12-19 /pmc/articles/PMC5750778/ /pubmed/29257044 http://dx.doi.org/10.3390/s17122917 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Huh, Jun-Ho
Seo, Kyungryong
An Indoor Location-Based Control System Using Bluetooth Beacons for IoT Systems
title An Indoor Location-Based Control System Using Bluetooth Beacons for IoT Systems
title_full An Indoor Location-Based Control System Using Bluetooth Beacons for IoT Systems
title_fullStr An Indoor Location-Based Control System Using Bluetooth Beacons for IoT Systems
title_full_unstemmed An Indoor Location-Based Control System Using Bluetooth Beacons for IoT Systems
title_short An Indoor Location-Based Control System Using Bluetooth Beacons for IoT Systems
title_sort indoor location-based control system using bluetooth beacons for iot systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5750778/
https://www.ncbi.nlm.nih.gov/pubmed/29257044
http://dx.doi.org/10.3390/s17122917
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