Application of a Smart City Model to a Traditional University Campus with a Big Data Architecture: A Sustainable Smart Campus
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http://hdl.handle.net/10045/92011
Title: | Application of a Smart City Model to a Traditional University Campus with a Big Data Architecture: A Sustainable Smart Campus |
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Authors: | Villegas-CH, William | Palacios-Pacheco, Xavier | Luján-Mora, Sergio |
Research Group/s: | Advanced deveLopment and empIrical research on Software (ALISoft) |
Center, Department or Service: | Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos |
Keywords: | Sustainability | IoT | Big data | Smart cities | Smart campus | Hadoop |
Knowledge Area: | Lenguajes y Sistemas Informáticos |
Issue Date: | 20-May-2019 |
Publisher: | MDPI |
Citation: | Villegas-Ch W, Palacios-Pacheco X, Luján-Mora S. Application of a Smart City Model to a Traditional University Campus with a Big Data Architecture: A Sustainable Smart Campus. Sustainability. 2019; 11(10):2857. doi:10.3390/su11102857 |
Abstract: | Currently, the integration of technologies such as the Internet of Things and big data seeks to cover the needs of an increasingly demanding society that consumes more resources. The massification of these technologies fosters the transformation of cities into smart cities. Smart cities improve the comfort of people in areas such as security, mobility, energy consumption and so forth. However, this transformation requires a high investment in both socioeconomic and technical resources. To make the most of the resources, it is important to make prototypes capable of simulating urban environments and for the results to set the standard for implementation in real environments. The search for an environment that represents the socioeconomic organization of a city led us to consider universities as a perfect environment for small-scale testing. The proposal integrates these technologies in a traditional university campus, mainly through the acquisition of data through the Internet of Things, the centralization of data in proprietary infrastructure and the use of big data for the management and analysis of data. The mechanisms of distributed and multilevel analysis proposed here could be a powerful starting point to find a reliable and efficient solution for the implementation of an intelligent environment based on sustainability. |
URI: | http://hdl.handle.net/10045/92011 |
ISSN: | 2071-1050 |
DOI: | 10.3390/su11102857 |
Language: | eng |
Type: | info:eu-repo/semantics/article |
Rights: | © 2019 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/). |
Peer Review: | si |
Publisher version: | https://doi.org/10.3390/su11102857 |
Appears in Collections: | INV - ALISoft - Artículos de Revistas |
Files in This Item:
File | Description | Size | Format | |
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2019_Villegas-CH_etal_Sustainability.pdf | 3,06 MB | Adobe PDF | Open Preview | |
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