Indoor Positioning Based on Bluetooth RSSI Mean Estimator for the Evacuation Supervision System Application
The novel approach to the Low Energy Bluetooth RSSI (Received Signal Strength Indicator) examination for a personal location during the evacuation process is presented in this paper. The presented system is based on stationary locating localization nodes installed inside the facility and portable wr...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10500830/ |
| _version_ | 1797193525160312832 |
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| author | Dariusz Janczak Wojciech Walendziuk Maciej Sadowski Andrzej Zankiewicz Krzysztof Konopko Maciej Slowik Malgorzata Gulewicz |
| author_facet | Dariusz Janczak Wojciech Walendziuk Maciej Sadowski Andrzej Zankiewicz Krzysztof Konopko Maciej Slowik Malgorzata Gulewicz |
| author_sort | Dariusz Janczak |
| collection | DOAJ |
| description | The novel approach to the Low Energy Bluetooth RSSI (Received Signal Strength Indicator) examination for a personal location during the evacuation process is presented in this paper. The presented system is based on stationary locating localization nodes installed inside the facility and portable wristbands worn by people. A method based on the propagation model and preliminary determination of its characteristics is used to calculate the wristband-locator distance. The accuracy of the distance estimations is increased by assuming Gaussian model of RSSI measurements and using the estimator of RSSI mean value. A modified multilateration approach is used to estimate the person’s position in the 2D Cartesian coordinate system. The paper also includes the outcomes of experiments conducted on the proposed approach as it was applied to the prototype evacuation supervision system. The paper presents a comparison of the position estimation error for the proposed method based on the mean RSSI value estimator with the results obtained when raw RSSI values were used. Analysis and discussion of wristband position estimation error are also included. |
| first_indexed | 2024-04-24T05:41:46Z |
| format | Article |
| id | doaj.art-9cdacaab6dca4ace8c96ac9436c18c13 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-24T05:41:46Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-9cdacaab6dca4ace8c96ac9436c18c132024-04-23T23:00:15ZengIEEEIEEE Access2169-35362024-01-0112558435585810.1109/ACCESS.2024.338998610500830Indoor Positioning Based on Bluetooth RSSI Mean Estimator for the Evacuation Supervision System ApplicationDariusz Janczak0https://orcid.org/0000-0001-5183-6017Wojciech Walendziuk1https://orcid.org/0000-0001-5183-6017Maciej Sadowski2https://orcid.org/0000-0001-5921-6365Andrzej Zankiewicz3https://orcid.org/0000-0003-3840-5356Krzysztof Konopko4https://orcid.org/0000-0001-5120-0457Maciej Slowik5https://orcid.org/0000-0001-7948-5327Malgorzata Gulewicz6https://orcid.org/0000-0001-5450-6603Faculty of Electrical Engineering, Bialystok University of Technology, Biaøystok, PolandFaculty of Electrical Engineering, Bialystok University of Technology, Biaøystok, PolandFaculty of Electrical Engineering, Bialystok University of Technology, Biaøystok, PolandFaculty of Electrical Engineering, Bialystok University of Technology, Biaøystok, PolandFaculty of Electrical Engineering, Bialystok University of Technology, Biaøystok, PolandMoose spolka z ograniczona odpowiedzialnoscia, Biaøystok, PolandMoose spolka z ograniczona odpowiedzialnoscia, Biaøystok, PolandThe novel approach to the Low Energy Bluetooth RSSI (Received Signal Strength Indicator) examination for a personal location during the evacuation process is presented in this paper. The presented system is based on stationary locating localization nodes installed inside the facility and portable wristbands worn by people. A method based on the propagation model and preliminary determination of its characteristics is used to calculate the wristband-locator distance. The accuracy of the distance estimations is increased by assuming Gaussian model of RSSI measurements and using the estimator of RSSI mean value. A modified multilateration approach is used to estimate the person’s position in the 2D Cartesian coordinate system. The paper also includes the outcomes of experiments conducted on the proposed approach as it was applied to the prototype evacuation supervision system. The paper presents a comparison of the position estimation error for the proposed method based on the mean RSSI value estimator with the results obtained when raw RSSI values were used. Analysis and discussion of wristband position estimation error are also included.https://ieeexplore.ieee.org/document/10500830/Indoor navigationindoor positioning systemslocalizationsmart buildingsBluetooth Low Energyreceived signal strength indicator |
| spellingShingle | Dariusz Janczak Wojciech Walendziuk Maciej Sadowski Andrzej Zankiewicz Krzysztof Konopko Maciej Slowik Malgorzata Gulewicz Indoor Positioning Based on Bluetooth RSSI Mean Estimator for the Evacuation Supervision System Application IEEE Access Indoor navigation indoor positioning systems localization smart buildings Bluetooth Low Energy received signal strength indicator |
| title | Indoor Positioning Based on Bluetooth RSSI Mean Estimator for the Evacuation Supervision System Application |
| title_full | Indoor Positioning Based on Bluetooth RSSI Mean Estimator for the Evacuation Supervision System Application |
| title_fullStr | Indoor Positioning Based on Bluetooth RSSI Mean Estimator for the Evacuation Supervision System Application |
| title_full_unstemmed | Indoor Positioning Based on Bluetooth RSSI Mean Estimator for the Evacuation Supervision System Application |
| title_short | Indoor Positioning Based on Bluetooth RSSI Mean Estimator for the Evacuation Supervision System Application |
| title_sort | indoor positioning based on bluetooth rssi mean estimator for the evacuation supervision system application |
| topic | Indoor navigation indoor positioning systems localization smart buildings Bluetooth Low Energy received signal strength indicator |
| url | https://ieeexplore.ieee.org/document/10500830/ |
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