| Title |
Application of a Smart City Model to a Traditional University Campus with a Big Data Architecture: A Sustainable Smart Campus |
| ID_Doc |
42627 |
| Authors |
Villegas-Ch, W; Palacios-Pacheco, X; Luján-Mora, S |
| Title |
Application of a Smart City Model to a Traditional University Campus with a Big Data Architecture: A Sustainable Smart Campus |
| Year |
2019 |
| Published |
Sustainability, 11, 10 |
| 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. |
| Author Keywords |
sustainability; IoT; big data; smart cities; smart campus; Hadoop |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:000471010300140 |
| WoS Category |
Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies |
| Research Area |
Science & Technology - Other Topics; Environmental Sciences & Ecology |
| PDF |
https://www.mdpi.com/2071-1050/11/10/2857/pdf?version=1558333505
|