Situation Goodness Method for Weighted Centroid-Based Wi-Fi APs Localization
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Show full item recordcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/43662
comunitat-uji-handle3:10234/187654
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INVESTIGACIONMetadata
Title
Situation Goodness Method for Weighted Centroid-Based Wi-Fi APs LocalizationAuthor (s)
Date
2016-10-13Publisher
SpringerISBN
978-3-319-47288-1; 978-3-319-47289-8Bibliographic citation
Mendoza-Silva G.M., Torres-Sospedra J., Huerta J., Montoliu R., Benítez F., Belmonte O. (2017) Situation Goodness Method for Weighted Centroid-Based Wi-Fi APs Localization. In: Gartner G., Huang H. (eds) Progress in Location-Based Services 2016. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-47289-8_2Type
info:eu-repo/semantics/bookPartPublisher version
https://link.springer.com/book/10.1007/978-3-319-47289-8Version
info:eu-repo/semantics/submittedVersionSubject
Abstract
Knowing the location of Wi-Fi antennas may be critical for indoor localization. However, in a real environment, their positions may be unknown since they can be managed by external entities. This paper introduces a ... [+]
Knowing the location of Wi-Fi antennas may be critical for indoor localization. However, in a real environment, their positions may be unknown since they can be managed by external entities. This paper introduces a new method for evaluating the suitability of using the weighted centroid method for the 2D localization of a Wi-Fi AP. The method is based on the idea that the weighted centroid method provides its best results when there are fingerprints taken around the AP. In order to find the probability of being in the presence of such situations, a natural neighbor interpolation method is used to find the regions with the highest signal strengths. A geometrical method is then used to characterize that probability based on the distribution of those regions in relation to the AP position estimation given by the weighted centroid method. The paper describes the testing location and the used Wi-Fi fingerprints database. That database is used to create new databases that recreate different sampling possibilities through a samples deletion strategy. The original database and the newly created ones are then used to evaluate the localization results of several AP localization methods and the new method proposed in this paper. The evaluation results have shown that the proposed method is able to provide a proper probability for the suitability of using the weighted centroid method for localizing a Wi-Fi AP. [-]
Is part of
Progress in Location-Based Services 2016 pp 27-47Funder Name
European Union’s Horizon 2020 Research
Project code
H2020-MSCA-ITN- 2014
Investigation project
info:eu-repo/grantAgreement/EC/H2020/642332Rights
http://rightsstatements.org/vocab/InC/1.0/
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess