Enabling indoor localization with internet of things (IoT)

This work presents an indoor localization service with the aid of received signal strength indicator (RSSI) from IoT. The RSSI emmitted from the IoT are converted into the relative distance between the IoT nodes to determine the current location. In order to enhance the accuracy, the area of interes...

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Main Authors: Chui, Yew Leong, Perumal, Thinagaran, Kwan, Wei Peng, Yaakob, Razali
Format: Conference or Workshop Item
Language:English
Published: IEEE 2018
Online Access:http://psasir.upm.edu.my/id/eprint/68947/1/Enabling%20indoor%20localization%20with%20internet%20of%20things%20%28IoT%29.pdf
http://psasir.upm.edu.my/id/eprint/68947/
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spelling my.upm.eprints.689472019-06-12T02:08:26Z http://psasir.upm.edu.my/id/eprint/68947/ Enabling indoor localization with internet of things (IoT) Chui, Yew Leong Perumal, Thinagaran Kwan, Wei Peng Yaakob, Razali This work presents an indoor localization service with the aid of received signal strength indicator (RSSI) from IoT. The RSSI emmitted from the IoT are converted into the relative distance between the IoT nodes to determine the current location. In order to enhance the accuracy, the area of interest is further divided into few zones. The RSSI from the nearby IoT devices (BLE Beacons) detected in each zones are collected. This enable the system to first identify the correct zone located, and utilizing the relative distance from the RSSI at the zone to further acquire the current position inside the zone. A demo system has been developed with the Bluetoothe Low Energy (BLE) to evaluate the indoor localization service with this zone system. IEEE 2018 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/68947/1/Enabling%20indoor%20localization%20with%20internet%20of%20things%20%28IoT%29.pdf Chui, Yew Leong and Perumal, Thinagaran and Kwan, Wei Peng and Yaakob, Razali (2018) Enabling indoor localization with internet of things (IoT). In: 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE 2018), 9-12 Oct. 2018, Nara, Japan. (pp. 571-573). 10.1109/GCCE.2018.8574489
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description This work presents an indoor localization service with the aid of received signal strength indicator (RSSI) from IoT. The RSSI emmitted from the IoT are converted into the relative distance between the IoT nodes to determine the current location. In order to enhance the accuracy, the area of interest is further divided into few zones. The RSSI from the nearby IoT devices (BLE Beacons) detected in each zones are collected. This enable the system to first identify the correct zone located, and utilizing the relative distance from the RSSI at the zone to further acquire the current position inside the zone. A demo system has been developed with the Bluetoothe Low Energy (BLE) to evaluate the indoor localization service with this zone system.
format Conference or Workshop Item
author Chui, Yew Leong
Perumal, Thinagaran
Kwan, Wei Peng
Yaakob, Razali
spellingShingle Chui, Yew Leong
Perumal, Thinagaran
Kwan, Wei Peng
Yaakob, Razali
Enabling indoor localization with internet of things (IoT)
author_facet Chui, Yew Leong
Perumal, Thinagaran
Kwan, Wei Peng
Yaakob, Razali
author_sort Chui, Yew Leong
title Enabling indoor localization with internet of things (IoT)
title_short Enabling indoor localization with internet of things (IoT)
title_full Enabling indoor localization with internet of things (IoT)
title_fullStr Enabling indoor localization with internet of things (IoT)
title_full_unstemmed Enabling indoor localization with internet of things (IoT)
title_sort enabling indoor localization with internet of things (iot)
publisher IEEE
publishDate 2018
url http://psasir.upm.edu.my/id/eprint/68947/1/Enabling%20indoor%20localization%20with%20internet%20of%20things%20%28IoT%29.pdf
http://psasir.upm.edu.my/id/eprint/68947/
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score 13.18916