Collection of a continuous long-term dataset for the evaluation of Wi-Fi-fingerprinting-based indoor positioning systems
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: | https://hdl.handle.net/1822/82573 |
Resumo: | The dataset introduced in this paper is available in two versions: lite version https://doi.org/10.5281/zenodo.6646008 (accessed on 28 July 2022) which considers Wi-Fi samples from each MD every 20 min, has a total of 382,852 Wi-Fi samples, thus making it easier to parse and analyse; full version https://doi.org/10.5281/zenodo.6928554 (accessed on 29 July 2022) which has all collected samples, with a total of 7,446,538 Wi-Fi samples. |
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Collection of a continuous long-term dataset for the evaluation of Wi-Fi-fingerprinting-based indoor positioning systemsWi-Fi datasetWireless Sensor Networkindoor positioningWi-Fi fingerprintingradio mapslong-term datasetdatasetvalidationCiências Naturais::Ciências da Computação e da InformaçãoScience & TechnologyThe dataset introduced in this paper is available in two versions: lite version https://doi.org/10.5281/zenodo.6646008 (accessed on 28 July 2022) which considers Wi-Fi samples from each MD every 20 min, has a total of 382,852 Wi-Fi samples, thus making it easier to parse and analyse; full version https://doi.org/10.5281/zenodo.6928554 (accessed on 29 July 2022) which has all collected samples, with a total of 7,446,538 Wi-Fi samples.Indoor positioning and navigation have been attracting interest from the research community for quite some time. Nowadays, new fields, such as the Internet of Things, Industry 4.0, and augmented reality, are increasing the demand for indoor positioning solutions capable of delivering specific positioning performances not only in simulation but also in the real world; hence, validation in real-world environments is essential. However, collecting real-world data is a time-consuming and costly endeavor, and many research teams lack the resources to perform experiments across different environments, which are required for high-quality validation. Publicly available datasets are a solution that provides the necessary resources to perform this type of validation and to promote research work reproducibility. Unfortunately, for different reasons, and despite some initiatives promoting data sharing, the number and diversity of datasets available are still very limited. In this paper, we introduce and describe a new public dataset which has the unique characteristic of being collected over a long period (2+ years), and it can be used for different Wi-Fi-based positioning studies. In addition, we also describe the solution (Wireless Sensor Network (WSN) + mobile unit) developed to collect this dataset, allowing researchers to replicate the method and collect similar datasets in other spaces.This work has been supported by FCT—Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020, and the PhD fellowship PD/BD/137401/2018.Multidisciplinary Digital Publishing InstituteUniversidade do MinhoSilva, Ivo Miguel MenezesPendão, CristianoMoreira, Adriano2022-11-082022-11-08T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/82573engSilva, I.; Pendão, C.; Moreira, A. Collection of a Continuous Long-Term Dataset for the Evaluation of Wi-Fi-Fingerprinting-Based Indoor Positioning Systems. Sensors 2022, 22, 8585. https://doi.org/10.3390/s222285851424-82201424-822010.3390/s2222858536433181https://www.mdpi.com/1424-8220/22/22/8585info: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:RCAAP2023-07-21T12:45:40Zoai:repositorium.sdum.uminho.pt:1822/82573Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:43:32.897729Repositório 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 |
Collection of a continuous long-term dataset for the evaluation of Wi-Fi-fingerprinting-based indoor positioning systems |
title |
Collection of a continuous long-term dataset for the evaluation of Wi-Fi-fingerprinting-based indoor positioning systems |
spellingShingle |
Collection of a continuous long-term dataset for the evaluation of Wi-Fi-fingerprinting-based indoor positioning systems Silva, Ivo Miguel Menezes Wi-Fi dataset Wireless Sensor Network indoor positioning Wi-Fi fingerprinting radio maps long-term dataset dataset validation Ciências Naturais::Ciências da Computação e da Informação Science & Technology |
title_short |
Collection of a continuous long-term dataset for the evaluation of Wi-Fi-fingerprinting-based indoor positioning systems |
title_full |
Collection of a continuous long-term dataset for the evaluation of Wi-Fi-fingerprinting-based indoor positioning systems |
title_fullStr |
Collection of a continuous long-term dataset for the evaluation of Wi-Fi-fingerprinting-based indoor positioning systems |
title_full_unstemmed |
Collection of a continuous long-term dataset for the evaluation of Wi-Fi-fingerprinting-based indoor positioning systems |
title_sort |
Collection of a continuous long-term dataset for the evaluation of Wi-Fi-fingerprinting-based indoor positioning systems |
author |
Silva, Ivo Miguel Menezes |
author_facet |
Silva, Ivo Miguel Menezes Pendão, Cristiano Moreira, Adriano |
author_role |
author |
author2 |
Pendão, Cristiano Moreira, Adriano |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Silva, Ivo Miguel Menezes Pendão, Cristiano Moreira, Adriano |
dc.subject.por.fl_str_mv |
Wi-Fi dataset Wireless Sensor Network indoor positioning Wi-Fi fingerprinting radio maps long-term dataset dataset validation Ciências Naturais::Ciências da Computação e da Informação Science & Technology |
topic |
Wi-Fi dataset Wireless Sensor Network indoor positioning Wi-Fi fingerprinting radio maps long-term dataset dataset validation Ciências Naturais::Ciências da Computação e da Informação Science & Technology |
description |
The dataset introduced in this paper is available in two versions: lite version https://doi.org/10.5281/zenodo.6646008 (accessed on 28 July 2022) which considers Wi-Fi samples from each MD every 20 min, has a total of 382,852 Wi-Fi samples, thus making it easier to parse and analyse; full version https://doi.org/10.5281/zenodo.6928554 (accessed on 29 July 2022) which has all collected samples, with a total of 7,446,538 Wi-Fi samples. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-11-08 2022-11-08T00:00:00Z |
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 |
https://hdl.handle.net/1822/82573 |
url |
https://hdl.handle.net/1822/82573 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Silva, I.; Pendão, C.; Moreira, A. Collection of a Continuous Long-Term Dataset for the Evaluation of Wi-Fi-Fingerprinting-Based Indoor Positioning Systems. Sensors 2022, 22, 8585. https://doi.org/10.3390/s22228585 1424-8220 1424-8220 10.3390/s22228585 36433181 https://www.mdpi.com/1424-8220/22/22/8585 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute |
publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute |
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 |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799132993148682240 |