L/F-CIPS: collaborative indoor positioning for smartphones with lateration and fingerprinting
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Otros documentos de la autoría: Pascacio, Pavel; Torres-Sospedra, Joaquín; Casteleyn, Sven; Lohan, Elena Simona; Nurmi, Jari
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7038
comunitat-uji-handle3:10234/8634
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Título
L/F-CIPS: collaborative indoor positioning for smartphones with lateration and fingerprintingAutoría
Fecha de publicación
2023-08-29Período temporal
Institute of Electrical and Electronics Engineers Inc.ISSN
1530-437XCita bibliográfica
P. Pascacio, J. Torres-Sospedra, S. Casteleyn, E. S. Lohan and J. Nurmi, "L/F-CIPS: Collaborative Indoor Positioning for Smartphones With Lateration and Fingerprinting," in IEEE Sensors Journal, vol. 23, no. 20, pp. 24787-24799, 15 Oct.15, 2023, doi: 10.1109/JSEN.2023.3308147.Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://ieeexplore.ieee.org/abstract/document/10234220Versión
info:eu-repo/semantics/acceptedVersionPalabras clave / Materias
Resumen
The demand for indoor location-based services (LBS) and the wide availability of mobile devices have triggered research into new positioning systems able to provide accurate indoor positions using smartphones. However, ... [+]
The demand for indoor location-based services (LBS) 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 alleviate these drawbacks. In this article, we propose a smartphone-based collaborative architecture using neural networks and received signal strength (RSS), which exploits the built-in wireless communication technologies in smartphones and the collaboration between devices to improve the 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 the traditional indoor positioning systems (IPSs). [-]
Publicado en
IEEE Sensors Journal, Volume 23, Issue 20, Pages 24787 - 24799 (29 August 2023)Entidad financiadora
European Union’s Horizon 2020 Research and Innovations Actions | South Carolina Rural Infrastructure Authority
Código del proyecto o subvención
813278 | 101023072
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