Environment-Aware Regression for Indoor Localization based on WiFi Fingerprinting

Detalhes bibliográficos
Autor(a) principal: Mendoza-Silva, German
Data de Publicação: 2022
Outros Autores: Costa, Ana Cristina, Torres-Sospedra, Joaquin, Painho, Marco, Huerta, Joaquín
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/130749
Resumo: Mendoza-Silva, G., Costa, A. C., Torres-Sospedra, J., Painho, M., & Huerta, J. (2022). Environment-Aware Regression for Indoor Localization based on WiFi Fingerprinting. IEEE Sensors Journal, 22(6), 4978 - 4988. https://doi.org/10.1109/JSEN.2021.3073878
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spelling Environment-Aware Regression for Indoor Localization based on WiFi FingerprintingAnalytical modelsExtrapolationIndoor PositioningInterpolationLibrariesRSS RegressionSensorsTrainingWiFi FingerprintingWiFi Samples CollectionWireless fidelityInstrumentationElectrical and Electronic EngineeringSDG 8 - Decent Work and Economic GrowthMendoza-Silva, G., Costa, A. C., Torres-Sospedra, J., Painho, M., & Huerta, J. (2022). Environment-Aware Regression for Indoor Localization based on WiFi Fingerprinting. IEEE Sensors Journal, 22(6), 4978 - 4988. https://doi.org/10.1109/JSEN.2021.3073878Data enrichment through interpolation or regression is a common approach to deal with sample collection for Indoor Localization with WiFi fingerprinting. This paper provides guidelines on where to collect WiFi samples, and proposes a new model for received signal strength regression. The new model creates vectors that describe the presence of obstacles between an access point and the collected samples. The vectors, the distance between the access point and the positions of the samples, and the collected, are used to train a Support Vector Regression. The experiments included some relevant analyses and showed that the proposed model improves received signal strength regression in terms of regression residuals and positioning accuracy.Information Management Research Center (MagIC) - NOVA Information Management SchoolNOVA Information Management School (NOVA IMS)RUNMendoza-Silva, GermanCosta, Ana CristinaTorres-Sospedra, JoaquinPainho, MarcoHuerta, Joaquín2022-01-13T00:27:43Z2022-03-152022-03-15T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article10application/pdfhttp://hdl.handle.net/10362/130749eng1530-437XPURE: 29525215https://doi.org/10.1109/JSEN.2021.3073878info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:09:22Zoai:run.unl.pt:10362/130749Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:46:52.319727Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Environment-Aware Regression for Indoor Localization based on WiFi Fingerprinting
title Environment-Aware Regression for Indoor Localization based on WiFi Fingerprinting
spellingShingle Environment-Aware Regression for Indoor Localization based on WiFi Fingerprinting
Mendoza-Silva, German
Analytical models
Extrapolation
Indoor Positioning
Interpolation
Libraries
RSS Regression
Sensors
Training
WiFi Fingerprinting
WiFi Samples Collection
Wireless fidelity
Instrumentation
Electrical and Electronic Engineering
SDG 8 - Decent Work and Economic Growth
title_short Environment-Aware Regression for Indoor Localization based on WiFi Fingerprinting
title_full Environment-Aware Regression for Indoor Localization based on WiFi Fingerprinting
title_fullStr Environment-Aware Regression for Indoor Localization based on WiFi Fingerprinting
title_full_unstemmed Environment-Aware Regression for Indoor Localization based on WiFi Fingerprinting
title_sort Environment-Aware Regression for Indoor Localization based on WiFi Fingerprinting
author Mendoza-Silva, German
author_facet Mendoza-Silva, German
Costa, Ana Cristina
Torres-Sospedra, Joaquin
Painho, Marco
Huerta, Joaquín
author_role author
author2 Costa, Ana Cristina
Torres-Sospedra, Joaquin
Painho, Marco
Huerta, Joaquín
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Information Management Research Center (MagIC) - NOVA Information Management School
NOVA Information Management School (NOVA IMS)
RUN
dc.contributor.author.fl_str_mv Mendoza-Silva, German
Costa, Ana Cristina
Torres-Sospedra, Joaquin
Painho, Marco
Huerta, Joaquín
dc.subject.por.fl_str_mv Analytical models
Extrapolation
Indoor Positioning
Interpolation
Libraries
RSS Regression
Sensors
Training
WiFi Fingerprinting
WiFi Samples Collection
Wireless fidelity
Instrumentation
Electrical and Electronic Engineering
SDG 8 - Decent Work and Economic Growth
topic Analytical models
Extrapolation
Indoor Positioning
Interpolation
Libraries
RSS Regression
Sensors
Training
WiFi Fingerprinting
WiFi Samples Collection
Wireless fidelity
Instrumentation
Electrical and Electronic Engineering
SDG 8 - Decent Work and Economic Growth
description Mendoza-Silva, G., Costa, A. C., Torres-Sospedra, J., Painho, M., & Huerta, J. (2022). Environment-Aware Regression for Indoor Localization based on WiFi Fingerprinting. IEEE Sensors Journal, 22(6), 4978 - 4988. https://doi.org/10.1109/JSEN.2021.3073878
publishDate 2022
dc.date.none.fl_str_mv 2022-01-13T00:27:43Z
2022-03-15
2022-03-15T00:00:00Z
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dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/130749
url http://hdl.handle.net/10362/130749
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1530-437X
PURE: 29525215
https://doi.org/10.1109/JSEN.2021.3073878
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application/pdf
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