Calibration Cost Reduction of Indoor Localization Using Bluetooth Low Energy Beacon

Indoor localization based on Bluetooth low energy (BLE) beacons has been rapidly developed, and many approaches have been developed to achieve higher estimation accuracy. In these methods, the received signal strength (RSS) is the input. However, the measurement of indoor environments is affected ea...

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Published inJournal of advanced computational intelligence and intelligent informatics Vol. 26; no. 1; pp. 97 - 106
Main Authors As, Mansur, Shimizu, Hiroshi, Benaissa, Brahim, Yoshida, Kaori, Köppen, Mario
Format Journal Article
LanguageEnglish
Published Tokyo Fuji Technology Press Co. Ltd 01.01.2022
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ISSN1343-0130
1883-8014
DOI10.20965/jaciii.2022.p0097

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Abstract Indoor localization based on Bluetooth low energy (BLE) beacons has been rapidly developed, and many approaches have been developed to achieve higher estimation accuracy. In these methods, the received signal strength (RSS) is the input. However, the measurement of indoor environments is affected easily; the signal may be reflected and attenuated by obstacles such as the human body, walls, and furniture, which creates a challenge for methods based on signal mapping. In this study, BLE signal characteristics are investigated in an indoor localization setting. An experiment is performed using one BLE beacon and multiple receivers installed at different wall and ceiling positions. The raw RSS is observed, and the relationship between the BLE beacon signal strength characteristics against the human body effect as well as the receiver’s placement in the observation area are discussed. Signal mapping is performed, where the signal strength is measured from all receivers simultaneously. The position estimation accuracy is examined based on different data scenarios. The results show that the estimation position estimated by the BLE beacon based on extensive BLE beacon data does not affect the estimation accuracy.
AbstractList Indoor localization based on Bluetooth low energy (BLE) beacons has been rapidly developed, and many approaches have been developed to achieve higher estimation accuracy. In these methods, the received signal strength (RSS) is the input. However, the measurement of indoor environments is affected easily; the signal may be reflected and attenuated by obstacles such as the human body, walls, and furniture, which creates a challenge for methods based on signal mapping. In this study, BLE signal characteristics are investigated in an indoor localization setting. An experiment is performed using one BLE beacon and multiple receivers installed at different wall and ceiling positions. The raw RSS is observed, and the relationship between the BLE beacon signal strength characteristics against the human body effect as well as the receiver’s placement in the observation area are discussed. Signal mapping is performed, where the signal strength is measured from all receivers simultaneously. The position estimation accuracy is examined based on different data scenarios. The results show that the estimation position estimated by the BLE beacon based on extensive BLE beacon data does not affect the estimation accuracy.
Author Yoshida, Kaori
As, Mansur
Shimizu, Hiroshi
Köppen, Mario
Benaissa, Brahim
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CorporateAuthor Department of Human Intelligent Systems, Graduate School of Life Science and System Engineering, Kyushu Institute of Technology 2-4 Hibikino, Wakamatsu, Kitakyushu, Fukuoka 808-0196, Japan
Department of Mechanical Systems Engineering, Toyota Technological Institute Design Engineering Lab, 2-12-1 Hisakata, Tempaku Ward, Nagoya, Aichi 468-8511, Japan
Department of Computer Science, Faculty of Mathematic and Natural Science, Universitas Negeri Medan Jl. Willem Iskandar, Pasar V, Medan, Sumatera Utara 20221, Indonesia
Department of Creative Informatics, Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology 680-4 Kawazu, Iizuka, Fukuoka 820-8502, Japan
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Snippet Indoor localization based on Bluetooth low energy (BLE) beacons has been rapidly developed, and many approaches have been developed to achieve higher...
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SubjectTerms Accuracy
Bluetooth
Ceilings
Human body
Indoor environments
Localization
Mapping
Position measurement
Receivers
Signal strength
Title Calibration Cost Reduction of Indoor Localization Using Bluetooth Low Energy Beacon
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