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

Corredor Pérez, Iván and Bernardos Barbolla, Ana M. and Iglesias Alvarez, Josué and 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. https://doi.org/10.3390/s120709286.

Description

Title: Model-Driven Methodology for Rapid Deployment of Smart Spaces based on Resource-Oriented Architectures
Author/s:
  • Corredor Pérez, Iván
  • Bernardos Barbolla, Ana M.
  • Iglesias Alvarez, Josué
  • Casar Corredera, Jose Ramon
Item Type: Article
Título de Revista/Publicación: Sensors
Date: July 2012
Volume: 2012
Subjects:
Freetext Keywords: smart space, Web of Things, Model Driven Architecture, ontology-driven architecture, UML profile; development methodology, resource-oriented architecture
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 16193
DC Identifier: http://oa.upm.es/16193/
OAI Identifier: oai:oa.upm.es:16193
DOI: 10.3390/s120709286
Official URL: http://www.mdpi.com/1424-8220/12/7/9286
Deposited by: Memoria Investigacion
Deposited on: 08 Jul 2013 18:24
Last Modified: 21 Apr 2016 16:30
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