Situation Goodness Method for Weighted Centroid-Based Wi-Fi APs Localization
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Mostra el registre complet de l'elementcomunitat-uji-handle:10234/9
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INVESTIGACIONMetadades
Títol
Situation Goodness Method for Weighted Centroid-Based Wi-Fi APs LocalizationAutoria
Data de publicació
2016-10-13Editor
SpringerISBN
978-3-319-47288-1; 978-3-319-47289-8Cita bibliogràfica
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_2Tipus de document
info:eu-repo/semantics/bookPartVersió de l'editorial
https://link.springer.com/book/10.1007/978-3-319-47289-8Versió
info:eu-repo/semantics/submittedVersionParaules clau / Matèries
Resum
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. [-]
Publicat a
Progress in Location-Based Services 2016 pp 27-47Entitat finançadora
European Union’s Horizon 2020 Research
Codi del projecte o subvenció
H2020-MSCA-ITN- 2014
Proyecto de investigación
info:eu-repo/grantAgreement/EC/H2020/642332Drets d'accés
http://rightsstatements.org/vocab/InC/1.0/
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess