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A Fingerprint-Based Indoor Localization System Using IEEE 802.15.4 for Staying Room Detection

A Fingerprint-Based Indoor Localization System Using IEEE 802.15.4 for Staying Room Detection

Pradini Puspitaningayu, Nobuo Funabiki, Yuanzhi Huo, Kazushi Hamazaki, Minoru Kuribayashi, Wen-Chung Kao
Copyright: © 2022 |Volume: 13 |Issue: 1 |Pages: 21
ISSN: 1937-9412|EISSN: 1937-9404|EISBN13: 9781683180449|DOI: 10.4018/IJMCMC.301275
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MLA

Puspitaningayu, Pradini, et al. "A Fingerprint-Based Indoor Localization System Using IEEE 802.15.4 for Staying Room Detection." IJMCMC vol.13, no.1 2022: pp.1-21. http://doi.org/10.4018/IJMCMC.301275

APA

Puspitaningayu, P., Funabiki, N., Huo, Y., Hamazaki, K., Kuribayashi, M., & Kao, W. (2022). A Fingerprint-Based Indoor Localization System Using IEEE 802.15.4 for Staying Room Detection. International Journal of Mobile Computing and Multimedia Communications (IJMCMC), 13(1), 1-21. http://doi.org/10.4018/IJMCMC.301275

Chicago

Puspitaningayu, Pradini, et al. "A Fingerprint-Based Indoor Localization System Using IEEE 802.15.4 for Staying Room Detection," International Journal of Mobile Computing and Multimedia Communications (IJMCMC) 13, no.1: 1-21. http://doi.org/10.4018/IJMCMC.301275

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Abstract

Nowadays, indoor localization systems using IEEE 802.11 have been actively explored for location-based services, since GPS cannot identify floors or rooms in buildings. However, the user-side device is usually large and consumes high energy. In this paper, the authors propose a fingerprint-based indoor localization system using IEEE 802.15.4 that allows the use of a small device with a long-life battery, named FILS15.4. A user carries a small transmitter whose signal is received by multiple receivers simultaneously. The received signal strengths are compared with the fingerprints to find the current location. To address signal fluctuations caused by the low-power narrow-band signal, FILS15.4 limits one room as the localization unit, prepares plural fingerprints for each room, and allocates a sufficient number of receivers in the field. For evaluations, extensive experiments were conducted at #2 Engineering Building in Okayama University and confirmed high detection accuracy with sufficient numbers of receivers and fingerprints.