Fingerprint Database Variations for WiFi Positioning

Autores
Acosta, Nelson; Toloza, Juan Manuel; Kornuta, Carlos Antonio
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Indoor positioning systems calculate the position of a mobile device (MD) in an enclosed environment with relative precision. Most systems use WiFi infrastructure and several positioning techniques, where the most commonly used parameter is RSSI (Received Signal Strength Indicator). In this paper, we analyze the fingerprinting technique to calculate the error window obtained with the Euclidian distance as main metric. Build variations are presented for the Fingerprint database analyzing various statistical values to compare the precision achieved with different indicators.
Fil: Acosta, Nelson. Universidad Nacional del Centro de la Provincia.de Buenos Aires. Facultad de Ciencias Exactas. Instituto de Investigaciones en Tecnologia Informatica Avanzada; Argentina
Fil: Toloza, Juan Manuel. Universidad Nacional del Centro de la Provincia.de Buenos Aires. Facultad de Ciencias Exactas. Instituto de Investigaciones en Tecnologia Informatica Avanzada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil; Argentina
Fil: Kornuta, Carlos Antonio. Universidad Nacional del Centro de la Provincia.de Buenos Aires. Facultad de Ciencias Exactas. Instituto de Investigaciones en Tecnologia Informatica Avanzada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil; Argentina
Materia
INDOOR POSITIONING
RSSI
FINGERPRINT
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/7035
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/7035
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Fingerprint Database Variations for WiFi PositioningAcosta, NelsonToloza, Juan ManuelKornuta, Carlos AntonioINDOOR POSITIONINGRSSIFINGERPRINThttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Indoor positioning systems calculate the position of a mobile device (MD) in an enclosed environment with relative precision. Most systems use WiFi infrastructure and several positioning techniques, where the most commonly used parameter is RSSI (Received Signal Strength Indicator). In this paper, we analyze the fingerprinting technique to calculate the error window obtained with the Euclidian distance as main metric. Build variations are presented for the Fingerprint database analyzing various statistical values to compare the precision achieved with different indicators.Fil: Acosta, Nelson. Universidad Nacional del Centro de la Provincia.de Buenos Aires. Facultad de Ciencias Exactas. Instituto de Investigaciones en Tecnologia Informatica Avanzada; ArgentinaFil: Toloza, Juan Manuel. Universidad Nacional del Centro de la Provincia.de Buenos Aires. Facultad de Ciencias Exactas. Instituto de Investigaciones en Tecnologia Informatica Avanzada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil; ArgentinaFil: Kornuta, Carlos Antonio. Universidad Nacional del Centro de la Provincia.de Buenos Aires. Facultad de Ciencias Exactas. Instituto de Investigaciones en Tecnologia Informatica Avanzada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil; ArgentinaIJCT Foundation2013-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/7035Acosta, Nelson; Toloza, Juan Manuel; Kornuta, Carlos Antonio; Fingerprint Database Variations for WiFi Positioning; IJCT Foundation; International Journal of Computer & Technology; 11; 10; 12-2013; 3101-31072277-3061enginfo:eu-repo/semantics/altIdentifier/ark/http://www.cirworld.com/index.php/ijct/issue/view/262info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:07:21Zoai:ri.conicet.gov.ar:11336/7035instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:07:21.691CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Fingerprint Database Variations for WiFi Positioning
title Fingerprint Database Variations for WiFi Positioning
spellingShingle Fingerprint Database Variations for WiFi Positioning
Acosta, Nelson
INDOOR POSITIONING
RSSI
FINGERPRINT
title_short Fingerprint Database Variations for WiFi Positioning
title_full Fingerprint Database Variations for WiFi Positioning
title_fullStr Fingerprint Database Variations for WiFi Positioning
title_full_unstemmed Fingerprint Database Variations for WiFi Positioning
title_sort Fingerprint Database Variations for WiFi Positioning
dc.creator.none.fl_str_mv Acosta, Nelson
Toloza, Juan Manuel
Kornuta, Carlos Antonio
author Acosta, Nelson
author_facet Acosta, Nelson
Toloza, Juan Manuel
Kornuta, Carlos Antonio
author_role author
author2 Toloza, Juan Manuel
Kornuta, Carlos Antonio
author2_role author
author
dc.subject.none.fl_str_mv INDOOR POSITIONING
RSSI
FINGERPRINT
topic INDOOR POSITIONING
RSSI
FINGERPRINT
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Indoor positioning systems calculate the position of a mobile device (MD) in an enclosed environment with relative precision. Most systems use WiFi infrastructure and several positioning techniques, where the most commonly used parameter is RSSI (Received Signal Strength Indicator). In this paper, we analyze the fingerprinting technique to calculate the error window obtained with the Euclidian distance as main metric. Build variations are presented for the Fingerprint database analyzing various statistical values to compare the precision achieved with different indicators.
Fil: Acosta, Nelson. Universidad Nacional del Centro de la Provincia.de Buenos Aires. Facultad de Ciencias Exactas. Instituto de Investigaciones en Tecnologia Informatica Avanzada; Argentina
Fil: Toloza, Juan Manuel. Universidad Nacional del Centro de la Provincia.de Buenos Aires. Facultad de Ciencias Exactas. Instituto de Investigaciones en Tecnologia Informatica Avanzada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil; Argentina
Fil: Kornuta, Carlos Antonio. Universidad Nacional del Centro de la Provincia.de Buenos Aires. Facultad de Ciencias Exactas. Instituto de Investigaciones en Tecnologia Informatica Avanzada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil; Argentina
description Indoor positioning systems calculate the position of a mobile device (MD) in an enclosed environment with relative precision. Most systems use WiFi infrastructure and several positioning techniques, where the most commonly used parameter is RSSI (Received Signal Strength Indicator). In this paper, we analyze the fingerprinting technique to calculate the error window obtained with the Euclidian distance as main metric. Build variations are presented for the Fingerprint database analyzing various statistical values to compare the precision achieved with different indicators.
publishDate 2013
dc.date.none.fl_str_mv 2013-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/7035
Acosta, Nelson; Toloza, Juan Manuel; Kornuta, Carlos Antonio; Fingerprint Database Variations for WiFi Positioning; IJCT Foundation; International Journal of Computer & Technology; 11; 10; 12-2013; 3101-3107
2277-3061
url http://hdl.handle.net/11336/7035
identifier_str_mv Acosta, Nelson; Toloza, Juan Manuel; Kornuta, Carlos Antonio; Fingerprint Database Variations for WiFi Positioning; IJCT Foundation; International Journal of Computer & Technology; 11; 10; 12-2013; 3101-3107
2277-3061
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/ark/http://www.cirworld.com/index.php/ijct/issue/view/262
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv IJCT Foundation
publisher.none.fl_str_mv IJCT Foundation
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1842270000437526528
score 12.885934

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