An Adaptive User Tracking Algorithm Using Irregular Data Frames for Passive Fingerprint Positioning
Wi-Fi fingerprinting is the most popular indoor positioning method today, representing received signal strength (RSS) values as vector-type fingerprints. Passive fingerprinting, unlike the active fingerprinting method, has the advantage of being able to track location without user participation by u...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-09-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/19/7124 |
| _version_ | 1797477043808501760 |
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| author | Donghyun Kim Kyuho Son Dongsoo Han |
| author_facet | Donghyun Kim Kyuho Son Dongsoo Han |
| author_sort | Donghyun Kim |
| collection | DOAJ |
| description | Wi-Fi fingerprinting is the most popular indoor positioning method today, representing received signal strength (RSS) values as vector-type fingerprints. Passive fingerprinting, unlike the active fingerprinting method, has the advantage of being able to track location without user participation by utilizing the signals that are naturally emitted from the user’s smartphone. However, since signals are generated depending on the user’s network usage patterns, there is a problem in that data are irregularly collected according to the patterns. Therefore, this paper proposes an adaptive algorithm that shows stable tracking performances for fingerprints generated at irregular time intervals. The accuracy and stability of the proposed tracking method were verified by experiments conducted in three scenarios. Through the proposed method, it is expected that the stability of indoor positioning and the quality of location-based services will improve. |
| first_indexed | 2024-03-09T21:12:21Z |
| format | Article |
| id | doaj.art-b4a67efe7a5f4eedb453dd0c2690c0e7 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T21:12:21Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-b4a67efe7a5f4eedb453dd0c2690c0e72023-11-23T21:43:46ZengMDPI AGSensors1424-82202022-09-012219712410.3390/s22197124An Adaptive User Tracking Algorithm Using Irregular Data Frames for Passive Fingerprint PositioningDonghyun Kim0Kyuho Son1Dongsoo Han2School of Computing, Korea Advanced Institute of Science and Technology, Daejeon 34141, KoreaSchool of Computing, Korea Advanced Institute of Science and Technology, Daejeon 34141, KoreaSchool of Computing, Korea Advanced Institute of Science and Technology, Daejeon 34141, KoreaWi-Fi fingerprinting is the most popular indoor positioning method today, representing received signal strength (RSS) values as vector-type fingerprints. Passive fingerprinting, unlike the active fingerprinting method, has the advantage of being able to track location without user participation by utilizing the signals that are naturally emitted from the user’s smartphone. However, since signals are generated depending on the user’s network usage patterns, there is a problem in that data are irregularly collected according to the patterns. Therefore, this paper proposes an adaptive algorithm that shows stable tracking performances for fingerprints generated at irregular time intervals. The accuracy and stability of the proposed tracking method were verified by experiments conducted in three scenarios. Through the proposed method, it is expected that the stability of indoor positioning and the quality of location-based services will improve.https://www.mdpi.com/1424-8220/22/19/7124indoor positioningpassive fingerprintinguser trackingadaptive algorithmlocation based service |
| spellingShingle | Donghyun Kim Kyuho Son Dongsoo Han An Adaptive User Tracking Algorithm Using Irregular Data Frames for Passive Fingerprint Positioning Sensors indoor positioning passive fingerprinting user tracking adaptive algorithm location based service |
| title | An Adaptive User Tracking Algorithm Using Irregular Data Frames for Passive Fingerprint Positioning |
| title_full | An Adaptive User Tracking Algorithm Using Irregular Data Frames for Passive Fingerprint Positioning |
| title_fullStr | An Adaptive User Tracking Algorithm Using Irregular Data Frames for Passive Fingerprint Positioning |
| title_full_unstemmed | An Adaptive User Tracking Algorithm Using Irregular Data Frames for Passive Fingerprint Positioning |
| title_short | An Adaptive User Tracking Algorithm Using Irregular Data Frames for Passive Fingerprint Positioning |
| title_sort | adaptive user tracking algorithm using irregular data frames for passive fingerprint positioning |
| topic | indoor positioning passive fingerprinting user tracking adaptive algorithm location based service |
| url | https://www.mdpi.com/1424-8220/22/19/7124 |
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