Next Article in Journal
A Middleware with Comprehensive Quality of Context Support for the Internet of Things Applications
Next Article in Special Issue
An Efficient Wireless Sensor Network for Industrial Monitoring and Control
Previous Article in Journal
Analysis on Coupled Vibration of a Radially Polarized Piezoelectric Cylindrical Transducer
Previous Article in Special Issue
Enhancing the Trajectory Generation of a Stair-Climbing Mobility System
Article Menu
Issue 12 (December) cover image

Export Article

Open AccessArticle
Sensors 2017, 17(12), 2856; https://doi.org/10.3390/s17122856

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

Departamento de Ingeniería de Sistemas Telemáticos, Universidad Politécnica de Madrid, Avenida Complutense 30, 28040 Madrid, Spain
*
Author to whom correspondence should be addressed.
Received: 8 November 2017 / Revised: 5 December 2017 / Accepted: 6 December 2017 / Published: 8 December 2017
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in Spain 2017)
Full-Text   |   PDF [11141 KB, uploaded 8 December 2017]   |  

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. View Full-Text
Keywords: Arduino; environmental monitoring; IoT; MQTT; people flow monitoring; Raspberry Pi; sensor networks; smart cities; visual analytics; Wi-Fi Arduino; environmental monitoring; IoT; MQTT; people flow monitoring; Raspberry Pi; sensor networks; smart cities; visual analytics; Wi-Fi
Figures

Graphical abstract

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Alvarez-Campana, M.; López, G.; Vázquez, E.; Villagrá, V.A.; Berrocal, J. Smart CEI Moncloa: An IoT-based Platform for People Flow and Environmental Monitoring on a Smart University Campus. Sensors 2017, 17, 2856.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top