L/F-CIPS: Collaborative indoor positioning for smartphones with lateration and fingerprinting

Detalhes bibliográficos
Autor(a) principal: Pascacio, Pavel
Data de Publicação: 2023
Outros Autores: Torres-Sospedra, Joaquín, Casteleyn, Sven, Lohan, Elena Simona, Nurmi, Jari
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/1822/86713
Resumo: The demand for indoor location-based services and the wide availability of mobile devices have triggered research into new positioning systems able to provide accurate indoor positions using smartphones. However, accurate solutions require a complex implementation and long-term maintenance of their infrastructure. Collaborative systems may help to alleviate these drawbacks. In this paper, we propose a smartphone-based collaborative architecture using neural networks and received signal strength, which exploits the built-in wireless communication technologies in smartphones and the collaboration between devices to improve traditional positioning systems without additional deployment. Experiments are carried out in two real-world scenarios, demonstrating that our proposed architecture enhances the position accuracy of traditional indoor positioning systems.
id RCAP_b2750a1205c38a9820bd78d3159cf2af
oai_identifier_str oai:repositorium.sdum.uminho.pt:1822/86713
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling L/F-CIPS: Collaborative indoor positioning for smartphones with lateration and fingerprintingCalibrationCollaborationCollaborative Indoor PositioningComputer architectureFingerprint recognitionFingerprintingLaterationNeural NetworksReceived Signal StrengthSensorsSmart phonesWireless fidelityEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e InformáticaThe demand for indoor location-based services and the wide availability of mobile devices have triggered research into new positioning systems able to provide accurate indoor positions using smartphones. However, accurate solutions require a complex implementation and long-term maintenance of their infrastructure. Collaborative systems may help to alleviate these drawbacks. In this paper, we propose a smartphone-based collaborative architecture using neural networks and received signal strength, which exploits the built-in wireless communication technologies in smartphones and the collaboration between devices to improve traditional positioning systems without additional deployment. Experiments are carried out in two real-world scenarios, demonstrating that our proposed architecture enhances the position accuracy of traditional indoor positioning systems.The authors gratefully acknowledge funding from European Union’s Horizon 2020 RIA programme under the Marie Skłodowska Curie grant agreement No. 813278 (A-WEAR: A network for dynamic wearable applications with privacy constraints) and No. 101023072 (ORIENTATE: Low-cost Reliable Indoor Positioning in Smart Factories). The associate editor coordinating the review of this article and approving it for publication was Prof. Name Surname (Corresponding authors: J. Torres-Sospedra and S. Casteleyn).IEEEUniversidade do MinhoPascacio, PavelTorres-Sospedra, JoaquínCasteleyn, SvenLohan, Elena SimonaNurmi, Jari20232023-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/86713engPascacio, P., Torres-Sospedra, J., Casteleyn, S., Lohan, E. S., & Nurmi, J. (2023). L/F-CIPS: Collaborative indoor positioning for smartphones with lateration and fingerprinting. IEEE Sensors Journal. Institute of Electrical and Electronics Engineers (IEEE). http://doi.org/10.1109/jsen.2023.33081471530-437X10.1109/JSEN.2023.3308147https://ieeexplore.ieee.org/document/10234220/info: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:RCAAP2023-12-02T01:20:48Zoai:repositorium.sdum.uminho.pt:1822/86713Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:35:32.160465Repositório 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 L/F-CIPS: Collaborative indoor positioning for smartphones with lateration and fingerprinting
title L/F-CIPS: Collaborative indoor positioning for smartphones with lateration and fingerprinting
spellingShingle L/F-CIPS: Collaborative indoor positioning for smartphones with lateration and fingerprinting
Pascacio, Pavel
Calibration
Collaboration
Collaborative Indoor Positioning
Computer architecture
Fingerprint recognition
Fingerprinting
Lateration
Neural Networks
Received Signal Strength
Sensors
Smart phones
Wireless fidelity
Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
title_short L/F-CIPS: Collaborative indoor positioning for smartphones with lateration and fingerprinting
title_full L/F-CIPS: Collaborative indoor positioning for smartphones with lateration and fingerprinting
title_fullStr L/F-CIPS: Collaborative indoor positioning for smartphones with lateration and fingerprinting
title_full_unstemmed L/F-CIPS: Collaborative indoor positioning for smartphones with lateration and fingerprinting
title_sort L/F-CIPS: Collaborative indoor positioning for smartphones with lateration and fingerprinting
author Pascacio, Pavel
author_facet Pascacio, Pavel
Torres-Sospedra, Joaquín
Casteleyn, Sven
Lohan, Elena Simona
Nurmi, Jari
author_role author
author2 Torres-Sospedra, Joaquín
Casteleyn, Sven
Lohan, Elena Simona
Nurmi, Jari
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Pascacio, Pavel
Torres-Sospedra, Joaquín
Casteleyn, Sven
Lohan, Elena Simona
Nurmi, Jari
dc.subject.por.fl_str_mv Calibration
Collaboration
Collaborative Indoor Positioning
Computer architecture
Fingerprint recognition
Fingerprinting
Lateration
Neural Networks
Received Signal Strength
Sensors
Smart phones
Wireless fidelity
Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
topic Calibration
Collaboration
Collaborative Indoor Positioning
Computer architecture
Fingerprint recognition
Fingerprinting
Lateration
Neural Networks
Received Signal Strength
Sensors
Smart phones
Wireless fidelity
Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
description The demand for indoor location-based services and the wide availability of mobile devices have triggered research into new positioning systems able to provide accurate indoor positions using smartphones. However, accurate solutions require a complex implementation and long-term maintenance of their infrastructure. Collaborative systems may help to alleviate these drawbacks. In this paper, we propose a smartphone-based collaborative architecture using neural networks and received signal strength, which exploits the built-in wireless communication technologies in smartphones and the collaboration between devices to improve traditional positioning systems without additional deployment. Experiments are carried out in two real-world scenarios, demonstrating that our proposed architecture enhances the position accuracy of traditional indoor positioning systems.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-01-01T00:00:00Z
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/1822/86713
url https://hdl.handle.net/1822/86713
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Pascacio, P., Torres-Sospedra, J., Casteleyn, S., Lohan, E. S., & Nurmi, J. (2023). L/F-CIPS: Collaborative indoor positioning for smartphones with lateration and fingerprinting. IEEE Sensors Journal. Institute of Electrical and Electronics Engineers (IEEE). http://doi.org/10.1109/jsen.2023.3308147
1530-437X
10.1109/JSEN.2023.3308147
https://ieeexplore.ieee.org/document/10234220/
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 IEEE
publisher.none.fl_str_mv IEEE
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
_version_ 1799133618318082048

Registros relacionados