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dc.contributor.authorÁlvarez-Campana Fernández-Corredor, Manueles-ES
dc.contributor.authorLópez López, Gregorioes-ES
dc.contributor.authorVázquez Gallo, Enriquees-ES
dc.contributor.authorVillagra González, Víctor Abrahames-ES
dc.contributor.authorBerrocal Colmenarejo, Julio Josées-ES
dc.date.accessioned2019-05-09T03:12:19Z
dc.date.available2019-05-09T03:12:19Z
dc.date.issued08/12/2017es_ES
dc.identifier.issn1424-8220es_ES
dc.identifier.urihttp://hdl.handle.net/11531/36595
dc.descriptionArtículos en revistases_ES
dc.description.abstractes-ES
dc.description.abstractInternet of Things platforms for Smart Cities are technologically complex and deploying them at large scale involves high costs and risks. Therefore, pilot schemes that allow validating proof of concepts, experimenting with different technologies and services, and fine-tuning them before migrating them to actual scenarios, are especially important in this context. The IoT platform deployed across the engineering schools of the Universidad Politécnica de Madrid in the Moncloa Campus of International Excellence represents a good example of a test bench for experimentation with Smart City services. This paper presents the main features of this platform, putting special emphasis on the technological challenges faced and on the solutions adopted, as well as on the functionality, services and potential that the platform offers.en-GB
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoen-GBes_ES
dc.sourceRevista: Sensors, Periodo: 1, Volumen: 17, Número: 12, Página inicial: 2856-1, Página final: 2856-24es_ES
dc.subject.otherInstituto de Investigación Tecnológica (IIT)es_ES
dc.titleSmart CEI Moncloa: an IoT-based platform for people flow and environmental monitoring on a smart university campuses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.rights.holderes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.keywordses-ES
dc.keywordsArduino; IoT; MQTT; Raspberry Pi; Wi-Fi; environmental monitoring; people flow monitoring; sensor networks; smart cities; visual analyticsen-GB


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