Improving DBSCAN for Indoor Positioning Using Wi-Fi Radio Maps in Wearable and IoT Devices
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Otros documentos de la autoría: Quezada Gaibor, Darwin; Klus, Lucie; Torres-Sospedra, Joaquín; Lohan, Elena Simona; Nurmi, Jari; Huerta, Joaquin
Metadatos
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Título
Improving DBSCAN for Indoor Positioning Using Wi-Fi Radio Maps in Wearable and IoT DevicesAutoría
Fecha de publicación
2020-10-05Editor
IEEECita bibliográfica
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.Tipo de documento
info:eu-repo/semantics/articleVersión
info:eu-repo/semantics/acceptedVersionPalabras clave / Materias
Resumen
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). [-]
Descripción
Ponencia presentada en 2020 12th International Congress on Ultra Modern Telecommunications
and Control Systems and W orkshops (ICUMT), 5-7 October 2020, online.
Publicado en
2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), ISBN 978-1-7281-9281-9Entidad financiadora
European Union’s Horizon 2020 Research and Innovation programme under the Marie Sklodowska Curie grant agreement | Ministerio de Ciencia, Innovación y Universidades (Spain)
Código del proyecto o subvención
813278 | INSIGNIA, PTQ2018-009981
Título del proyecto o subvención
A-WEAR: A network for dynamic wearable applications with privacy constraints
Derechos de acceso
© Copyright 2020 IEEE - All rights reserved.
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