Automatic Detection of Missing Access Points in Indoor Positioning System <sup>†</sup>
The paper presents a Wi-Fi-based indoor localisation system. It consists of two main parts, the localisation model and an Access Points (APs) detection module. The system uses a received signal strength (RSS) gathered by multiple mobile terminals to detect which AP should be included in the localisa...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-10-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/18/11/3595 |
| _version_ | 1828151891502039040 |
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| author | Rafał Górak Marcin Luckner |
| author_facet | Rafał Górak Marcin Luckner |
| author_sort | Rafał Górak |
| collection | DOAJ |
| description | The paper presents a Wi-Fi-based indoor localisation system. It consists of two main parts, the localisation model and an Access Points (APs) detection module. The system uses a received signal strength (RSS) gathered by multiple mobile terminals to detect which AP should be included in the localisation model and whether the model needs to be updated (rebuilt). The rebuilding of the localisation model prevents the localisation system from a significant loss of accuracy. The proposed automatic detection of missing APs has a universal character and it can be applied to any Wi-Fi localisation model which was created using the fingerprinting method. The paper considers the localisation model based on the Random Forest algorithm. The system was tested on data collected inside a multi-floor academic building. The proposed implementation reduced the mean horizontal error by 5.5 m and the classification error for the floor’s prediction by 0.26 in case of a serious malfunction of a Wi-Fi infrastructure. Several simulations were performed, taking into account different occupancy scenarios as well as different numbers of missing APs. The simulations proved that the system correctly detects missing and present APs in the Wi-Fi infrastructure. |
| first_indexed | 2024-04-11T22:03:56Z |
| format | Article |
| id | doaj.art-356cc75a06bc4646b3861e0e68c10000 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T22:03:56Z |
| publishDate | 2018-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-356cc75a06bc4646b3861e0e68c100002022-12-22T04:00:47ZengMDPI AGSensors1424-82202018-10-011811359510.3390/s18113595s18113595Automatic Detection of Missing Access Points in Indoor Positioning System <sup>†</sup>Rafał Górak0Marcin Luckner1Faculty of Mathematics and Information Science, Warsaw University of Technology, Koszykowa 75 street, 00-662 Warsaw, PolandFaculty of Mathematics and Information Science, Warsaw University of Technology, Koszykowa 75 street, 00-662 Warsaw, PolandThe paper presents a Wi-Fi-based indoor localisation system. It consists of two main parts, the localisation model and an Access Points (APs) detection module. The system uses a received signal strength (RSS) gathered by multiple mobile terminals to detect which AP should be included in the localisation model and whether the model needs to be updated (rebuilt). The rebuilding of the localisation model prevents the localisation system from a significant loss of accuracy. The proposed automatic detection of missing APs has a universal character and it can be applied to any Wi-Fi localisation model which was created using the fingerprinting method. The paper considers the localisation model based on the Random Forest algorithm. The system was tested on data collected inside a multi-floor academic building. The proposed implementation reduced the mean horizontal error by 5.5 m and the classification error for the floor’s prediction by 0.26 in case of a serious malfunction of a Wi-Fi infrastructure. Several simulations were performed, taking into account different occupancy scenarios as well as different numbers of missing APs. The simulations proved that the system correctly detects missing and present APs in the Wi-Fi infrastructure.https://www.mdpi.com/1424-8220/18/11/3595indoor localisation systemfingerprintingsystem deployment and maintenance |
| spellingShingle | Rafał Górak Marcin Luckner Automatic Detection of Missing Access Points in Indoor Positioning System <sup>†</sup> Sensors indoor localisation system fingerprinting system deployment and maintenance |
| title | Automatic Detection of Missing Access Points in Indoor Positioning System <sup>†</sup> |
| title_full | Automatic Detection of Missing Access Points in Indoor Positioning System <sup>†</sup> |
| title_fullStr | Automatic Detection of Missing Access Points in Indoor Positioning System <sup>†</sup> |
| title_full_unstemmed | Automatic Detection of Missing Access Points in Indoor Positioning System <sup>†</sup> |
| title_short | Automatic Detection of Missing Access Points in Indoor Positioning System <sup>†</sup> |
| title_sort | automatic detection of missing access points in indoor positioning system sup † sup |
| topic | indoor localisation system fingerprinting system deployment and maintenance |
| url | https://www.mdpi.com/1424-8220/18/11/3595 |
| work_keys_str_mv | AT rafałgorak automaticdetectionofmissingaccesspointsinindoorpositioningsystemsupsup AT marcinluckner automaticdetectionofmissingaccesspointsinindoorpositioningsystemsupsup |