Environment-Aware Regression for Indoor Localization based on WiFi Fingerprinting
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
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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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 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
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 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
10 application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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