Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/86713
Registo completo
Campo DC | Valor | Idioma |
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dc.contributor.author | Pascacio, Pavel | por |
dc.contributor.author | Torres-Sospedra, Joaquín | por |
dc.contributor.author | Casteleyn, Sven | por |
dc.contributor.author | Lohan, Elena Simona | por |
dc.contributor.author | Nurmi, Jari | por |
dc.date.accessioned | 2023-10-08T19:38:15Z | - |
dc.date.available | 2023-10-08T19:38:15Z | - |
dc.date.issued | 2023 | - |
dc.identifier.citation | 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 | por |
dc.identifier.issn | 1530-437X | - |
dc.identifier.uri | https://hdl.handle.net/1822/86713 | - |
dc.description.abstract | 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. | por |
dc.description.sponsorship | 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). | por |
dc.language.iso | eng | por |
dc.publisher | IEEE | por |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/813278/EU | por |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/101023072/EU | por |
dc.rights | openAccess | por |
dc.subject | Calibration | por |
dc.subject | Collaboration | por |
dc.subject | Collaborative Indoor Positioning | por |
dc.subject | Computer architecture | por |
dc.subject | Fingerprint recognition | por |
dc.subject | Fingerprinting | por |
dc.subject | Lateration | por |
dc.subject | Neural Networks | por |
dc.subject | Received Signal Strength | por |
dc.subject | Sensors | por |
dc.subject | Smart phones | por |
dc.subject | Wireless fidelity | por |
dc.title | L/F-CIPS: Collaborative indoor positioning for smartphones with lateration and fingerprinting | por |
dc.type | article | por |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/10234220/ | por |
oaire.citationStartPage | 24787 | por |
oaire.citationEndPage | 24799 | por |
oaire.citationIssue | 20 | por |
oaire.citationVolume | 23 | por |
dc.date.updated | 2023-10-07T18:37:18Z | - |
dc.identifier.doi | 10.1109/JSEN.2023.3308147 | por |
dc.subject.fos | Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática | por |
sdum.export.identifier | 12776 | - |
sdum.journal | IEEE Sensors Journal | por |
Aparece nas coleções: | CAlg - Artigos em revistas internacionais / Papers in international journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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manuscript_final.pdf | 9,05 MB | Adobe PDF | Ver/Abrir |