Ephemeral ID Beacon-Based Improved Indoor Positioning System
Recently, the rapid development of mobile devices and communication technologies has dramatically increased the demand for location-based services that provide users with location-oriented information and services. User location in outdoor spaces is measured with high accuracy using GPS. However, be...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-11-01
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| Series: | Symmetry |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-8994/10/11/622 |
| _version_ | 1811186294206758912 |
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| author | Jinsu Kang Jeonghoon Seo Yoojae Won |
| author_facet | Jinsu Kang Jeonghoon Seo Yoojae Won |
| author_sort | Jinsu Kang |
| collection | DOAJ |
| description | Recently, the rapid development of mobile devices and communication technologies has dramatically increased the demand for location-based services that provide users with location-oriented information and services. User location in outdoor spaces is measured with high accuracy using GPS. However, because the indoor reception of GPS signals is not smooth, this solution is not viable in indoor spaces. Many on-going studies are exploring new approaches for indoor location measurement. One popular technique involves using the received signal strength indicator (RSSI) values from the Bluetooth Low Energy (BLE) beacons to measure the distance between a mobile device and the beacons and then determining the position of the user in an indoor space by applying a positioning algorithm such as the trilateration method. However, it remains difficult to obtain accurate data because RSSI values are unstable owing to the influence of elements in the surrounding environment such as weather, humidity, physical barriers, and interference from other signals. In this paper, we propose an indoor location tracking system that improves performance by correcting unstable RSSI signals received from BLE beacons. We apply a filter algorithm based on the average filter and the Kalman filter to reduce the error range of results calculated using the RSSI values. |
| first_indexed | 2024-04-11T13:43:09Z |
| format | Article |
| id | doaj.art-8e9c564e603044ce8b313fa251b280aa |
| institution | Directory Open Access Journal |
| issn | 2073-8994 |
| language | English |
| last_indexed | 2024-04-11T13:43:09Z |
| publishDate | 2018-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Symmetry |
| spelling | doaj.art-8e9c564e603044ce8b313fa251b280aa2022-12-22T04:21:10ZengMDPI AGSymmetry2073-89942018-11-01101162210.3390/sym10110622sym10110622Ephemeral ID Beacon-Based Improved Indoor Positioning SystemJinsu Kang0Jeonghoon Seo1Yoojae Won2Department of Computer Science and engineering, Chungnam National University, Daejeon 34134, KoreaDepartment of Computer Science and engineering, Chungnam National University, Daejeon 34134, KoreaDepartment of Computer Science and engineering, Chungnam National University, Daejeon 34134, KoreaRecently, the rapid development of mobile devices and communication technologies has dramatically increased the demand for location-based services that provide users with location-oriented information and services. User location in outdoor spaces is measured with high accuracy using GPS. However, because the indoor reception of GPS signals is not smooth, this solution is not viable in indoor spaces. Many on-going studies are exploring new approaches for indoor location measurement. One popular technique involves using the received signal strength indicator (RSSI) values from the Bluetooth Low Energy (BLE) beacons to measure the distance between a mobile device and the beacons and then determining the position of the user in an indoor space by applying a positioning algorithm such as the trilateration method. However, it remains difficult to obtain accurate data because RSSI values are unstable owing to the influence of elements in the surrounding environment such as weather, humidity, physical barriers, and interference from other signals. In this paper, we propose an indoor location tracking system that improves performance by correcting unstable RSSI signals received from BLE beacons. We apply a filter algorithm based on the average filter and the Kalman filter to reduce the error range of results calculated using the RSSI values.https://www.mdpi.com/2073-8994/10/11/622Internet of things (IoT)location-based service (LBS)indoor localizationbeaconreceived signal strength indication (RSSI)Kalman filteraverage filter |
| spellingShingle | Jinsu Kang Jeonghoon Seo Yoojae Won Ephemeral ID Beacon-Based Improved Indoor Positioning System Symmetry Internet of things (IoT) location-based service (LBS) indoor localization beacon received signal strength indication (RSSI) Kalman filter average filter |
| title | Ephemeral ID Beacon-Based Improved Indoor Positioning System |
| title_full | Ephemeral ID Beacon-Based Improved Indoor Positioning System |
| title_fullStr | Ephemeral ID Beacon-Based Improved Indoor Positioning System |
| title_full_unstemmed | Ephemeral ID Beacon-Based Improved Indoor Positioning System |
| title_short | Ephemeral ID Beacon-Based Improved Indoor Positioning System |
| title_sort | ephemeral id beacon based improved indoor positioning system |
| topic | Internet of things (IoT) location-based service (LBS) indoor localization beacon received signal strength indication (RSSI) Kalman filter average filter |
| url | https://www.mdpi.com/2073-8994/10/11/622 |
| work_keys_str_mv | AT jinsukang ephemeralidbeaconbasedimprovedindoorpositioningsystem AT jeonghoonseo ephemeralidbeaconbasedimprovedindoorpositioningsystem AT yoojaewon ephemeralidbeaconbasedimprovedindoorpositioningsystem |