Improving DBSCAN for Indoor Positioning Using Wi-Fi Radio Maps in Wearable and IoT Devices
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Altres documents de l'autoria: Quezada Gaibor, Darwin; Klus, Lucie; Torres-Sospedra, Joaquín; Lohan, Elena Simona; Nurmi, Jari; Huerta, Joaquin
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INVESTIGACIONMetadades
Títol
Improving DBSCAN for Indoor Positioning Using Wi-Fi Radio Maps in Wearable and IoT DevicesAutoria
Data de publicació
2020-10-05Editor
IEEECita bibliogràfica
D. Quezada-Gaibor, L. Klus, J. Torres-Sospedra, E. S. Lohan, J. Nurmi and J. Huerta, "Improving DBSCAN for Indoor Positioning Using Wi-Fi Radio Maps in Wearable and IoT Devices," 2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2020, pp. 208-213, doi: 10.1109/ICUMT51630.2020.9222411.Tipus de document
info:eu-repo/semantics/articleVersió
info:eu-repo/semantics/acceptedVersionParaules clau / Matèries
Resum
IoT devices and wearables may rely on Wi-Fi finger-printing to estimate the position indoors. The limited resources of these devices make it necessary to provide adequate methods to reduce the operational computational ... [+]
IoT devices and wearables may rely on Wi-Fi finger-printing to estimate the position indoors. The limited resources of these devices make it necessary to provide adequate methods to reduce the operational computational load without degrading the positioning error. Thus, the aim of this article is to improve the positioning error and reduce the dimensionality of the radio map by using an enhanced DBSCAN. Moreover, we provide an additional analysis of combining DBSCAN + PCA analysis for further dimensionality reduction. Thereby, we implement a postprocessing method based on the correlation coefficient to join "noisy" samples to the formed clusters with Density-based Spatial Clustering of Applications with Noise (DBSCAN). As a result, the positioning error was reduced by 10% with respect to the plain DBSCAN, and the radio map dimensionality was reduced in both dimensions, samples and Access Points (APs). [-]
Descripció
Ponencia presentada en 2020 12th International Congress on Ultra Modern Telecommunications
and Control Systems and W orkshops (ICUMT), 5-7 October 2020, online.
Publicat a
2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), ISBN 978-1-7281-9281-9Entitat finançadora
European Union’s Horizon 2020 Research and Innovation programme under the Marie Sklodowska Curie grant agreement | Ministerio de Ciencia, Innovación y Universidades (Spain)
Codi del projecte o subvenció
813278 | INSIGNIA, PTQ2018-009981
Títol del projecte o subvenció
A-WEAR: A network for dynamic wearable applications with privacy constraints
Drets d'accés
© Copyright 2020 IEEE - All rights reserved.
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