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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 1/2017

27.10.2016

Finding Near-Optimal Regularization Parameter for Indoor Device-free Localization

verfasst von: Konstantin Chomu, Vladimir Atanasovski, Liljana Gavrilovska

Erschienen in: Wireless Personal Communications | Ausgabe 1/2017

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Abstract

Device-free Localization (DfL) systems offer real-time indoor localization of people without any electronic devices attached on their bodies. The human body influences the radio wave propagation between wireless links and changes the Received Signal Strength (RSS). Wireless Sensor Networks (WSNs) nodes easily measure these RSS changes and appropriate Radio Tomographic Imaging (RTI) algorithms can then process the RSS data and allow human localization. This paper investigates how to choose near-optimal regularization parameter during the regularization process for indoor DfL and describes an experimental indoor DfL setup realized with a Sun SPOT based WSN. The work elaborates on the numerical calculation of the near-optimal regularization parameter by usage of the trade-off curve criterion. The calculated parameter enables conclusive RTI image with sufficient localization precision for eHealth or other ambient-assisted-living applications where the error tolerance is at a scale of several tens of centimeters. The value for the regularization parameter matches the empirical derived value obtained in the authors’previous work.
Vorheriger Artikel Software-Defined Fog Network Architecture for IoT
Nächster Artikel Towards Future Low Exposure Mobile Cellular Networks

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Metadaten
Titel
Finding Near-Optimal Regularization Parameter for Indoor Device-free Localization
verfasst von
Konstantin Chomu
Vladimir Atanasovski
Liljana Gavrilovska
Publikationsdatum
27.10.2016
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 1/2017
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-016-3846-z

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