| Title |
Deployment of an open sensorized platform in a smart city context |
| ID_Doc |
38124 |
| Authors |
Trilles, S; Calia, A; Belmonte, O; Torres-Sospedra, J; Montoliu, R; Huerta, J |
| Title |
Deployment of an open sensorized platform in a smart city context |
| Year |
2017 |
| Published |
|
| DOI |
10.1016/j.future.2016.11.005 |
| Abstract |
The race to achieve smart cities is producing a continuous effort to adapt new developments and knowledge, for administrations and citizens. Information and Communications Technology are called on to be one of the key players to get these cities to use smart devices and sensors (Internet of Things) to know at every moment what is happening within the city, in order to make decisions that will improve the management of resources. The proliferation of these "smart things" is producing significant deployment of networks in the city context. Most of these devices are proprietary solutions, which do not offer free access to the data they provide. Therefore, this prevents the interoperability and compatibility of these solutions in the current smart city developments. This paper presents how to embed an open sensorized platform for both hardware and software in the context of a smart city, more specifically in a university campus. For this integration, GlScience comes into play, where it offers different open standards that allow full control over "smart things" as an agile and interoperable way to achieve this. To test our system, we have deployed a network of different sensorized platforms inside the university campus, in order to monitor environmental phenomena. (C) 2016 Elsevier B.V. All rights reserved. |
| Author Keywords |
Internet of Things; Smart cities; Open-hardware; GIScience; Environmental monitoring; GEOEvent |
| 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:000407983100018 |
| WoS Category |
Computer Science, Theory & Methods |
| Research Area |
Computer Science |
| PDF |
https://repositori.uji.es/xmlui/bitstream/10234/169942/1/Trilles_2017_Deployment.pdf
|