Model-Driven Methodology for Rapid Deployment of Smart Spaces based on Resource-Oriented Architectures

Corredor Pérez, Iván; Bernardos Barbolla, Ana M.; Iglesias Alvarez, Josué y Casar Corredera, Jose Ramon (2012). Model-Driven Methodology for Rapid Deployment of Smart Spaces based on Resource-Oriented Architectures. "Sensors", v. 2012 (n. 12); pp. 9286-9335. ISSN 1424-8220.

Descripción

Título: Model-Driven Methodology for Rapid Deployment of Smart Spaces based on Resource-Oriented Architectures
Autor/es:
  • Corredor Pérez, Iván
  • Bernardos Barbolla, Ana M.
  • Iglesias Alvarez, Josué
  • Casar Corredera, Jose Ramon
Tipo de Documento: Artículo
Título de Revista/Publicación: Sensors
Fecha: Julio 2012
Volumen: 2012
Materias:
Palabras Clave Informales: smart space, Web of Things, Model Driven Architecture, ontology-driven architecture, UML profile; development methodology, resource-oriented architecture
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Señales, Sistemas y Radiocomunicaciones
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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URL Oficial: http://www.mdpi.com/1424-8220/12/7/9286

Resumen

Advances in electronics nowadays facilitate the design of smart spaces based on physical mash-ups of sensor and actuator devices. At the same time, software paradigms such as Internet of Things (IoT) and Web of Things (WoT) are motivating the creation of technology to support the development and deployment of web-enabled embedded sensor and actuator devices with two major objectives: (i) to integrate sensing and actuating functionalities into everyday objects, and (ii) to easily allow a diversity of devices to plug into the Internet. Currently, developers who are applying this Internet-oriented approach need to have solid understanding about specific platforms and web technologies. In order to alleviate this development process, this research proposes a Resource-Oriented and Ontology-Driven Development (ROOD) methodology based on the Model Driven Architecture (MDA). This methodology aims at enabling the development of smart spaces through a set of modeling tools and semantic technologies that support the definition of the smart space and the automatic generation of code at hardware level. ROOD feasibility is demonstrated by building an adaptive health monitoring service for a Smart Gym.

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ID de Registro: 16193
Identificador DC: http://oa.upm.es/16193/
Identificador OAI: oai:oa.upm.es:16193
Depositado por: Memoria Investigacion
Depositado el: 08 Jul 2013 18:24
Ultima Modificación: 21 Abr 2016 16:30
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