Evaluations of Fingerprint-based Indoor Positioning System Using IEEE 802.15.4

Pradini Puspitaningayu; Nobuo Funabiki; Kazushi Hamazaki; Minoru Kuribayashi; Wen Chung Kao

doi:10.1109/ICCE-TW52618.2021.9603037

Evaluations of Fingerprint-based Indoor Positioning System Using IEEE 802.15.4

Pradini Puspitaningayu, Nobuo Funabiki, Kazushi Hamazaki, Minoru Kuribayashi, Wen Chung Kao

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

Nowadays, indoor positioning systems (IPS) have gained popularity for offering location-based services. Previously, we have proposed the fingerprint-based indoor positioning system using IEEE 802.15.4. By limiting the positioning resolution by one room, it can detect the current position accurately. However, this detection was only performed at one time, thus the accuracy has not been observed. In this paper, we present experimental evaluations of the implemented system when it runs for a long time on two floors with 15 rooms of #2 Engineering Building in Okayama University. The results show that it achieves 93.41% and 91.83% average accuracy of the correct room detection on each floor.

Original language	English
Title of host publication	2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665433280
DOIs	https://doi.org/10.1109/ICCE-TW52618.2021.9603037
Publication status	Published - 2021
Event	8th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021 - Penghu, Taiwan Duration: 2021 Sept 15 → 2021 Sept 17

Publication series

Name	2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021

Conference

Conference	8th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021
Country/Territory	Taiwan
City	Penghu
Period	2021/09/15 → 2021/09/17

Keywords

IoT
LQI
MQTT
Mono Wireless
Python
Raspberry Pi
SQLite
detection accuracy

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Electrical and Electronic Engineering
Control and Optimization
Instrumentation

Access to Document

10.1109/ICCE-TW52618.2021.9603037

Cite this

Puspitaningayu, P., Funabiki, N., Hamazaki, K., Kuribayashi, M., & Kao, W. C. (2021). Evaluations of Fingerprint-based Indoor Positioning System Using IEEE 802.15.4. In 2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021 (2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-TW52618.2021.9603037

Evaluations of Fingerprint-based Indoor Positioning System Using IEEE 802.15.4. / Puspitaningayu, Pradini; Funabiki, Nobuo; Hamazaki, Kazushi et al.
2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Puspitaningayu, P, Funabiki, N, Hamazaki, K, Kuribayashi, M & Kao, WC 2021, Evaluations of Fingerprint-based Indoor Positioning System Using IEEE 802.15.4. in 2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021. 2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021, Institute of Electrical and Electronics Engineers Inc., 8th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021, Penghu, Taiwan, 2021/09/15. https://doi.org/10.1109/ICCE-TW52618.2021.9603037

Puspitaningayu P, Funabiki N, Hamazaki K, Kuribayashi M, Kao WC. Evaluations of Fingerprint-based Indoor Positioning System Using IEEE 802.15.4. In 2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021. Institute of Electrical and Electronics Engineers Inc. 2021. (2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021). doi: 10.1109/ICCE-TW52618.2021.9603037

Puspitaningayu, Pradini ; Funabiki, Nobuo ; Hamazaki, Kazushi et al. / Evaluations of Fingerprint-based Indoor Positioning System Using IEEE 802.15.4. 2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021).

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title = "Evaluations of Fingerprint-based Indoor Positioning System Using IEEE 802.15.4",

abstract = "Nowadays, indoor positioning systems (IPS) have gained popularity for offering location-based services. Previously, we have proposed the fingerprint-based indoor positioning system using IEEE 802.15.4. By limiting the positioning resolution by one room, it can detect the current position accurately. However, this detection was only performed at one time, thus the accuracy has not been observed. In this paper, we present experimental evaluations of the implemented system when it runs for a long time on two floors with 15 rooms of #2 Engineering Building in Okayama University. The results show that it achieves 93.41% and 91.83% average accuracy of the correct room detection on each floor.",

keywords = "IoT, LQI, MQTT, Mono Wireless, Python, Raspberry Pi, SQLite, detection accuracy",

author = "Pradini Puspitaningayu and Nobuo Funabiki and Kazushi Hamazaki and Minoru Kuribayashi and Kao, {Wen Chung}",

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AU - Kao, Wen Chung

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N2 - Nowadays, indoor positioning systems (IPS) have gained popularity for offering location-based services. Previously, we have proposed the fingerprint-based indoor positioning system using IEEE 802.15.4. By limiting the positioning resolution by one room, it can detect the current position accurately. However, this detection was only performed at one time, thus the accuracy has not been observed. In this paper, we present experimental evaluations of the implemented system when it runs for a long time on two floors with 15 rooms of #2 Engineering Building in Okayama University. The results show that it achieves 93.41% and 91.83% average accuracy of the correct room detection on each floor.

AB - Nowadays, indoor positioning systems (IPS) have gained popularity for offering location-based services. Previously, we have proposed the fingerprint-based indoor positioning system using IEEE 802.15.4. By limiting the positioning resolution by one room, it can detect the current position accurately. However, this detection was only performed at one time, thus the accuracy has not been observed. In this paper, we present experimental evaluations of the implemented system when it runs for a long time on two floors with 15 rooms of #2 Engineering Building in Okayama University. The results show that it achieves 93.41% and 91.83% average accuracy of the correct room detection on each floor.

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Evaluations of Fingerprint-based Indoor Positioning System Using IEEE 802.15.4

Abstract

Publication series

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Keywords

ASJC Scopus subject areas

Access to Document

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