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Título: Beyond the RSSI value in BLE-based passive indoor localization: let data speak
Fecha de publicación: 5-nov-2018
Editorial: ACM Digital Library
Palabras clave: BLE
Indoor localization
passive systems
realistic datasets
Resumen: In this paper we present the results obtained from a large experimental environment that makes use of Bluetooth Low Energy (BLE) as the core technology for a location estimation system. BLE is a common technology for this kind of geopositioning systems, but most of the existing proposals are based on the RSS (Received Signal Strength) value obtained by mobile smart devices from static emitters such as iBeacons or other similar tags. This is not our case, since we adopt a passive approach where monitors obtain advertising frames emitted by mobile BLE beacons with no computing capabilities. In our particular scenario, based on a commercial application of our system, we perform fast but exhaustive training procedures to produce an initial dataset that is then analyzed paying attention to important design parameters. A thorough analysis of the data by means of different data visualization techniques reveals valuable information about the behavior of the emitters, signal characterization, radio coverage and, mainly, possible features that can be employed lately by machine learning methods in order to provide accurate location estimations. This is useful to define a quick and continuous training life-cycle which enables the detection of inconsistent data or failures. Our analysis also suggests that a representation of the observations using alternative features provides similar or even better results than the RSS values in terms of efficiency and support for heterogeneous devices.
Autor/es principal/es: López-de-Teruel, Pedro Enrique
Cánovas, Óscar
García, Félix J.
González, Rubén
Carrasco, José A.
Facultad/Departamentos/Servicios: Facultades, Departamentos, Servicios y Escuelas::Departamentos de la UMU::Ingeniería y Tecnología de Computadores
Forma parte de: MobiQuitous '18: Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services. November 2018
Versión del editor: https://dl.acm.org/doi/10.1145/3286978.3286986
URI: http://hdl.handle.net/10201/137692
DOI: https://doi.org/10.1145/3286978.3286986
Tipo de documento: info:eu-repo/semantics/lecture
Número páginas / Extensión: 10
Derechos: info:eu-repo/semantics/openAccess
Attribution-NoDerivatives 4.0 Internacional
Aparece en las colecciones:Ponencias y comunicaciones: Ingeniería y Tecnología de Computadores

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