Internet of Things: A Review of Surveys Based on Context Aware Intelligent Services

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10045/56984
Información del item - Informació de l'item - Item information
Título: Internet of Things: A Review of Surveys Based on Context Aware Intelligent Services
Autor/es: Gil, David | Ferrández, Antonio | Mora, Higinio | Peral, Jesús
Grupo/s de investigación o GITE: Lucentia | Procesamiento del Lenguaje y Sistemas de Información (GPLSI) | Informática Industrial y Redes de Computadores
Centro, Departamento o Servicio: Universidad de Alicante. Departamento de Tecnología Informática y Computación | Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos
Palabras clave: Internet of things | Big data | Ontology | Semantics | Data mining with big data | Services for big data | Social internet of things | Cloud computing
Área/s de conocimiento: Arquitectura y Tecnología de Computadores | Lenguajes y Sistemas Informáticos
Fecha de publicación: 11-jul-2016
Editor: MDPI
Cita bibliográfica: Gil D, Ferrández A, Mora-Mora H, Peral J. Internet of Things: A Review of Surveys Based on Context Aware Intelligent Services. Sensors. 2016; 16(7):1069. doi:10.3390/s16071069
Resumen: The Internet of Things (IoT) has made it possible for devices around the world to acquire information and store it, in order to be able to use it at a later stage. However, this potential opportunity is often not exploited because of the excessively big interval between the data collection and the capability to process and analyse it. In this paper, we review the current IoT technologies, approaches and models in order to discover what challenges need to be met to make more sense of data. The main goal of this paper is to review the surveys related to IoT in order to provide well integrated and context aware intelligent services for IoT. Moreover, we present a state-of-the-art of IoT from the context aware perspective that allows the integration of IoT and social networks in the emerging Social Internet of Things (SIoT) term.
Patrocinador/es: This work has been partially funded by the Spanish Ministry of Economy and Competitiveness (MINECO/FEDER) under the granted Project SEQUOIA-UA (Management requirements and methodology for Big Data analytics) TIN2015-63502-C3-3-R, by the University of Alicante, within the program of support for research, under project GRE14-10, and by the Conselleria de Educación, Investigación, Cultura y Deporte, Comunidad Valenciana, Spain, within the program of support for research, under project GV/2016/087. This work has also been partially funded by projects from the Spanish Ministry of Education and Competitivity TIN2015-65100-R and DIIM2.0 (PROMETEOII/2014/001).
URI: http://hdl.handle.net/10045/56984
ISSN: 1424-8220
DOI: 10.3390/s16071069
Idioma: eng
Tipo: info:eu-repo/semantics/article
Derechos: © 2016 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/).
Revisión científica: si
Versión del editor: http://dx.doi.org/10.3390/s16071069
Aparece en las colecciones:INV - LUCENTIA - Artículos de Revistas
INV - GPLSI - Artículos de Revistas
INV - I2RC - Artículos de Revistas
INV - AIA - Artículos de Revistas

Archivos en este ítem:
Archivos en este ítem:
Archivo Descripción TamañoFormato 
Thumbnail2016_Gil_etal_Sensors.pdf1,57 MBAdobe PDFAbrir Vista previa


Este ítem está licenciado bajo Licencia Creative Commons Creative Commons