Indoor Positioning Using the Modified Fingerprint Technique

Autores
Kornuta, Carlos Antonio; Acosta, Héctor Nelson; Toloza, Juan Manuel
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The Wi-Fi positioning systems available for enclosed spaces use the existing network infrastructure to calculate the position of the mobile device (MD). The most commonly used parameter is RSSI (Received Signal Strength Indicator). In this paper, we analyze the Fingerprint technique considering some variations aimed at improving the accuracy of the technique and minimizing calculation time. Significant field work is carried out, analyzing the accuracy achieved with each technique.
Fil: Kornuta, Carlos Antonio. Universidad Nacional del Centro de la Pcia.de Bs.as.. Facultad de Cs.exactas. Instituto de Invest.en Tecnologia Informatica Avanzada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil; Argentina
Fil: Acosta, Héctor Nelson. Universidad Nacional del Centro de la Pcia.de Bs.as.. Facultad de Cs.exactas. Instituto de Invest.en Tecnologia Informatica Avanzada; Argentina
Fil: Toloza, Juan Manuel. Universidad Nacional del Centro de la Pcia.de Bs.as.. Facultad de Cs.exactas. Instituto de Invest.en Tecnologia Informatica Avanzada; Argentina. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Ctro Cientifico Tecnologico Conicet - Tandil. Unidad de Adm. Territorial; Argentina
Materia
INDOOR POSITIONING
WIRELESS LAN
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:11336/7034
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/7034
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Indoor Positioning Using the Modified Fingerprint TechniqueKornuta, Carlos AntonioAcosta, Héctor NelsonToloza, Juan ManuelINDOOR POSITIONINGWIRELESS LANRSSIFINGERPRINThttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1The Wi-Fi positioning systems available for enclosed spaces use the existing network infrastructure to calculate the position of the mobile device (MD). The most commonly used parameter is RSSI (Received Signal Strength Indicator). In this paper, we analyze the Fingerprint technique considering some variations aimed at improving the accuracy of the technique and minimizing calculation time. Significant field work is carried out, analyzing the accuracy achieved with each technique.Fil: Kornuta, Carlos Antonio. Universidad Nacional del Centro de la Pcia.de Bs.as.. Facultad de Cs.exactas. Instituto de Invest.en Tecnologia Informatica Avanzada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil; ArgentinaFil: Acosta, Héctor Nelson. Universidad Nacional del Centro de la Pcia.de Bs.as.. Facultad de Cs.exactas. Instituto de Invest.en Tecnologia Informatica Avanzada; ArgentinaFil: Toloza, Juan Manuel. Universidad Nacional del Centro de la Pcia.de Bs.as.. Facultad de Cs.exactas. Instituto de Invest.en Tecnologia Informatica Avanzada; Argentina. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Ctro Cientifico Tecnologico Conicet - Tandil. Unidad de Adm. Territorial; ArgentinaIJIRCCE2013-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/7034Kornuta, Carlos Antonio; Acosta, Héctor Nelson; Toloza, Juan Manuel; Indoor Positioning Using the Modified Fingerprint Technique; IJIRCCE; International Journal of Innovative Research in Computer and Communication Engineering; 1; 10; 12-2013; 2282-22902320-9801enginfo:eu-repo/semantics/altIdentifier/url/http://www.ijircce.com/upload/2013/december/2_Indoor.pdfinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:52:27Zoai:ri.conicet.gov.ar:11336/7034instacron: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:34982025-09-29 09:52:27.327CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Indoor Positioning Using the Modified Fingerprint Technique
title Indoor Positioning Using the Modified Fingerprint Technique
spellingShingle Indoor Positioning Using the Modified Fingerprint Technique
Kornuta, Carlos Antonio
INDOOR POSITIONING
WIRELESS LAN
RSSI
FINGERPRINT
title_short Indoor Positioning Using the Modified Fingerprint Technique
title_full Indoor Positioning Using the Modified Fingerprint Technique
title_fullStr Indoor Positioning Using the Modified Fingerprint Technique
title_full_unstemmed Indoor Positioning Using the Modified Fingerprint Technique
title_sort Indoor Positioning Using the Modified Fingerprint Technique
dc.creator.none.fl_str_mv Kornuta, Carlos Antonio
Acosta, Héctor Nelson
Toloza, Juan Manuel
author Kornuta, Carlos Antonio
author_facet Kornuta, Carlos Antonio
Acosta, Héctor Nelson
Toloza, Juan Manuel
author_role author
author2 Acosta, Héctor Nelson
Toloza, Juan Manuel
author2_role author
author
dc.subject.none.fl_str_mv INDOOR POSITIONING
WIRELESS LAN
RSSI
FINGERPRINT
topic INDOOR POSITIONING
WIRELESS LAN
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 The Wi-Fi positioning systems available for enclosed spaces use the existing network infrastructure to calculate the position of the mobile device (MD). The most commonly used parameter is RSSI (Received Signal Strength Indicator). In this paper, we analyze the Fingerprint technique considering some variations aimed at improving the accuracy of the technique and minimizing calculation time. Significant field work is carried out, analyzing the accuracy achieved with each technique.
Fil: Kornuta, Carlos Antonio. Universidad Nacional del Centro de la Pcia.de Bs.as.. Facultad de Cs.exactas. Instituto de Invest.en Tecnologia Informatica Avanzada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil; Argentina
Fil: Acosta, Héctor Nelson. Universidad Nacional del Centro de la Pcia.de Bs.as.. Facultad de Cs.exactas. Instituto de Invest.en Tecnologia Informatica Avanzada; Argentina
Fil: Toloza, Juan Manuel. Universidad Nacional del Centro de la Pcia.de Bs.as.. Facultad de Cs.exactas. Instituto de Invest.en Tecnologia Informatica Avanzada; Argentina. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Ctro Cientifico Tecnologico Conicet - Tandil. Unidad de Adm. Territorial; Argentina
description The Wi-Fi positioning systems available for enclosed spaces use the existing network infrastructure to calculate the position of the mobile device (MD). The most commonly used parameter is RSSI (Received Signal Strength Indicator). In this paper, we analyze the Fingerprint technique considering some variations aimed at improving the accuracy of the technique and minimizing calculation time. Significant field work is carried out, analyzing the accuracy achieved with each technique.
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/11336/7034
Kornuta, Carlos Antonio; Acosta, Héctor Nelson; Toloza, Juan Manuel; Indoor Positioning Using the Modified Fingerprint Technique; IJIRCCE; International Journal of Innovative Research in Computer and Communication Engineering; 1; 10; 12-2013; 2282-2290
2320-9801
url http://hdl.handle.net/11336/7034
identifier_str_mv Kornuta, Carlos Antonio; Acosta, Héctor Nelson; Toloza, Juan Manuel; Indoor Positioning Using the Modified Fingerprint Technique; IJIRCCE; International Journal of Innovative Research in Computer and Communication Engineering; 1; 10; 12-2013; 2282-2290
2320-9801
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.ijircce.com/upload/2013/december/2_Indoor.pdf
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
dc.publisher.none.fl_str_mv IJIRCCE
publisher.none.fl_str_mv IJIRCCE
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_ 1844613609068429312
score 13.070432

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