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dc.creatorKlaina, Hichames_ES
dc.creatorPicallo Guembe, Imanoles_ES
dc.creatorLópez Iturri, Peioes_ES
dc.creatorBiurrun, Aitores_ES
dc.creatorAlejos, Anaes_ES
dc.creatorAzpilicueta Fernández de las Heras, Leyrees_ES
dc.creatorSocorro Leránoz, Abián Bentores_ES
dc.creatorFalcone Lanas, Franciscoes_ES
dc.date.accessioned2024-01-23T15:17:10Z
dc.date.available2024-01-23T15:17:10Z
dc.date.issued2024
dc.identifier.citationKlaina, H., Picallo, I., Lopez-Iturri, P., Biurrun, A., Alejos, A. V., Azpilicueta, L., Socorro-Leránoz, A. B., Falcone, F. (2024) IIoT low-cost Zigbee-based WSN implementation for enhanced production efficiency in a solar protection curtains manufacturing workshop. Sensors, 24(2), 1-20. https://doi.org/10.3390/s24020712.en
dc.identifier.issn1424-8220
dc.identifier.urihttps://hdl.handle.net/2454/47134
dc.description.abstractNowadays, the Industry 4.0 concept and the Industrial Internet of Things (IIoT) are considered essential for the implementation of automated manufacturing processes across various industrial settings. In this regard, wireless sensor networks (WSN) are crucial due to their inherent mobility, easy deployment and maintenance, scalability, and low power consumption, among other benefits. In this context, the presented paper proposes an optimized and low-cost WSN based on ZigBee communication technology for the monitoring of a real manufacturing facility. The company designs and manufactures solar protection curtains and aims to integrate the deployed WSN into the Enterprise Resource Planning (ERP) system in order to optimize their production processes and enhance production efficiency and cost estimation capabilities. To achieve this, radio propagation measurements and 3D ray launching simulations were conducted to characterize the wireless channel behavior and facilitate the development of an optimized WSN system that can operate in the complex industrial environment presented and validated through on-site wireless channel measurements, as well as interference analysis. Then, a low-cost WSN was implemented and deployed to acquire real-time data from different machinery and workstations, which will be integrated into the ERP system. Multiple data streams have been collected and processed from the shop floor of the factory by means of the prototype wireless nodes implemented. This integration will enable the company to optimize its production processes, fabricate products more efficiently, and enhance its cost estimation capabilities. Moreover, the proposed system provides a scalable platform, enabling the integration of new sensors as well as information processing capabilities.en
dc.description.sponsorshipThis work has been funded by the Fondo Europeo de Desarrollo Regional, Ministerio de Ciencia e Innovación, Agencia Estatal de Investigación (AEI), Government of Spain, PID2021-127409OB-C31.en
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherMDPIen
dc.relation.ispartofSensors 2024, 24(2), 712en
dc.rightsCopyright: © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/license s/by/4.0/).en
dc.rights.urihttps://creativecommons.org/license s/by/4.0/
dc.subjectIndustry 4.0en
dc.subjectIndustrial internet of thingsen
dc.subjectWireless sensor networksen
dc.subjectManufacturing processen
dc.subjectAutomationen
dc.subject3D ray launchingen
dc.subjectWireless channelen
dc.titleIIoT low-cost Zigbee-based WSN implementation for enhanced production efficiency in a solar protection curtains manufacturing workshopen
dc.typeArtículo / Artikuluaes
dc.typeinfo:eu-repo/semantics/articleen
dc.date.updated2024-01-23T14:51:40Z
dc.contributor.departmentIngeniería Eléctrica, Electrónica y de Comunicaciónes_ES
dc.contributor.departmentIngeniaritza Elektrikoa, Elektronikoa eta Telekomunikazio Ingeniaritzaeu
dc.contributor.departmentInstitute of Smart Cities - ISCen
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.identifier.doi10.3390/s24020712
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI//PID2021-127409OB-C31en
dc.relation.publisherversionhttps://doi.org/10.3390/s24020712
dc.type.versionVersión publicada / Argitaratu den bertsioaes
dc.type.versioninfo:eu-repo/semantics/publishedVersionen


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Copyright: © 2024 by the authors.
Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/license
s/by/4.0/).
La licencia del ítem se describe como Copyright: © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/license s/by/4.0/).

El Repositorio ha recibido la ayuda de la Fundación Española para la Ciencia y la Tecnología para la realización de actividades en el ámbito del fomento de la investigación científica de excelencia, en la Línea 2. Repositorios institucionales (convocatoria 2020-2021).
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