Abstract
Wearable and IoT devices requiring positioning and localisation services grow in number exponentially every year. This rapid growth also produces millions of data entries that need to be pre-processed prior to being used in any indoor positioning system to ensure the data quality and provide a high Quality of Service (QoS) to the end-user. In this paper, we offer a novel and straightforward data cleansing algorithm for WLAN fingerprinting radio maps. This algorithm is based on the correlation among fingerprints using the Received Signal Strength (RSS) values and the Access Points (APs)'s identifier. We use those to compute the correlation among all samples in the dataset and remove fingerprints with low level of correlation from the dataset. We evaluated the proposed method on 14 independent publicly-available datasets. As a result, an average of 14% of fingerprints were removed from the datasets. The 2D positioning error was reduced by 2.7% and 3D positioning error by 5.3% with a slight increase in the floor hit rate by 1.2% on average. Consequently, the average speed of position prediction was also increased by 14%.
Original language | English |
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Title of host publication | Proceedings - 2022 23rd IEEE International Conference on Mobile Data Management, MDM 2022 |
Publisher | IEEE |
Pages | 349-354 |
Number of pages | 6 |
ISBN (Electronic) | 9781665451765 |
ISBN (Print) | 9781665451772 |
DOIs | |
Publication status | Published - 2022 |
Publication type | A4 Article in conference proceedings |
Event | IEEE International Conference on Mobile Data Management - Virtual, Paphos, Cyprus Duration: 6 Jun 2022 → 9 Jun 2022 |
Publication series
Name | Proceedings - IEEE International Conference on Mobile Data Management |
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ISSN (Print) | 1551-6245 |
ISSN (Electronic) | 2375-0324 |
Conference
Conference | IEEE International Conference on Mobile Data Management |
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Country/Territory | Cyprus |
City | Virtual, Paphos |
Period | 6/06/22 → 9/06/22 |
Keywords
- Data cleansing
- Data pre-processing
- Indoor positioning
- Localisation
- Wi-Fi Fingerprinting
Publication forum classification
- Publication forum level 1
ASJC Scopus subject areas
- General Engineering
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Supplementary material "Data Cleansing for Indoor Positioning Wi-Fi Fingerprinting Datasets"
Quezada Gaibor, D. (Contributor), Klus, L. (Creator), Torres-Sospedra, J. (Contributor), Lohan, E.-S. (Contributor), Nurmi, J. (Contributor), Granell, C. (Contributor) & Huerta, J. (Contributor), Zenodo, 24 Mar 2022
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