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      Smart CEI Moncloa: An IoT-based Platform for People Flow and Environmental Monitoring on a Smart University Campus

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          Abstract

          Internet 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.

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          Most cited references 60

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          The Internet of Things: A survey

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            Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications

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              Internet of Things for Smart Cities

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                08 December 2017
                December 2017
                : 17
                : 12
                Affiliations
                Departamento de Ingeniería de Sistemas Telemáticos, Universidad Politécnica de Madrid, Avenida Complutense 30, 28040 Madrid, Spain; gregorio.lopez.lopez@ 123456upm.es (G.L.); enrique@ 123456dit.upm.es (E.V.); villagra@ 123456dit.upm.es (V.A.V.); berrocal@ 123456dit.upm.es (J.B.)
                Author notes
                [* ]Correspondence: mac@ 123456dit.upm.es ; Tel.: +34-915-495-700
                Article
                sensors-17-02856
                10.3390/s17122856
                5751704
                29292790
                © 2017 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 ( http://creativecommons.org/licenses/by/4.0/).

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