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dc.contributor.authorDomínguez-Bolaño, Tomás
dc.contributor.authorBarral Vales, Valentín
dc.contributor.authorEscudero, Carlos J.
dc.contributor.authorGarcía-Naya, José A.
dc.date.accessioned2024-02-19T14:18:17Z
dc.date.available2024-02-19T14:18:17Z
dc.date.issued2024-04
dc.identifier.citationDomínguez-Bolaño, T. et al. (2024) ‘An IOT system for a smart campus: Challenges and solutions illustrated over several real-world use cases’, Internet of Things, 25, 101099. doi:10.1016/j.iot.2024.101099.es_ES
dc.identifier.issn2542-6605
dc.identifier.urihttp://hdl.handle.net/2183/35656
dc.description.abstract[Abstract]: This article discusses the development of an IoT system for monitoring and controlling various devices and systems from different vendors. The authors considered key challenges in IoT projects, such as interoperability and integration, scalability, and data storage, processing, and visualization, during the design and deployment phases. In addition to these general challenges, the authors also delve into the specific integration challenges they encountered. Various devices and systems were integrated into the system and five real-world scenarios in a university campus environment are used to illustrate the challenges encountered. The scenarios involve monitoring various aspects of a university campus environment, including air quality, environmental parameters, energy efficiency, solar photovoltaic energy, and energy consumption. The authors analyzed data and CPU usage to ensure that the system could handle the large amount of data generated by the devices. The platform developed uses open source projects such as Home Assistant, InfluxDB, Grafana, and Node-RED. All developments have been published as open source in public repositories. In conclusion, this work highlights the potential and feasibility of IoT systems in various real-world applications, the importance of considering key challenges in IoT projects during the design and deployment phases, and the specific integration challenges that may be encountered.es_ES
dc.description.sponsorshipThis work was supported in part by grants PID2022-137099NB-C42 (MADDIE) and TED2021-130240B-I00 (IVRY) funded by MCIN/AEI/10.13039/501100011033; and in part by the European Union NextGenerationEU/PRTR. Funding for open access charge: Universidade da Coruña/CISUG.es_ES
dc.description.sponsorshipFinanciado para publicación en acceso aberto: Universidade da Coruña/CISUGes_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica, Técnica y de Innovación 2021-2023/PID2022-137099NB-C42/ES/TECNOLOGIAS DE COMUNICACION, CODIFICACION Y PROCESADO PARA REDES CLASICAS-CUANTICAS DE PROXIMA GENERACIONes_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2024/TED2021-130240B-I00/ES/DETECCIÓN INTEGRADA DE VÍDEO Y RADAR PARA EL POSICIONAMIENTO EN INTERIORES DE PERSONAS SIN DISPOSITIVOS Y CON GARANTÍA DE PRIVACIDAD BASADA EN EDGE AIes_ES
dc.relation.urihttps://doi.org/10.1016/j.iot.2024.101099es_ES
dc.rightsAtribución 4.0 Internacionales_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectSmart campuses_ES
dc.subjectIoT (internet of things)es_ES
dc.subjectIoT challengeses_ES
dc.subjectReal-world applicationses_ES
dc.subjectEnergy efficiencyes_ES
dc.subjectRadones_ES
dc.titleAn IoT system for a smart campus: Challenges and solutions illustrated over several real-world use caseses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleInternet of Thingses_ES
UDC.volume25es_ES
UDC.issue101099es_ES
UDC.startPage1es_ES
UDC.endPage21es_ES
dc.identifier.doi10.1016/j.iot.2024.101099


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