Memorias de investigación
Artículos en revistas:
Multi-Agent Information Fusion System to manage data from a WSN in a residential home
Año:2015

Áreas de investigación
  • Ciencias de la computación y tecnología informática

Datos
Descripción
With the increase of intelligent systems based on Multi-Agent Systems (MAS) and the use of Wireless Sensor Networks (WSN) in context-aware scenarios, information fusion has become an essential part of this kind of systems where the information is distributed among nodes or agents. This paper presents a new MAS specially designed to manage data from WSNs, which was tested in a residential home for the elderly. The proposed MAS architecture is based on virtual organizations, and incorporates social behaviors to improve the information fusion processes. The data that the system manages and analyzes correspond to the actual data of the activities of a resident. Data is collected as the information event counts detected by the sensors in a specific time interval, typically one day. We have designed a system that improves the quality of life of dependant people, especially elderly, by fusioning data obtained by multiple sensors and information of their daily activities. The high development of systems that extract and store information make essential to improve the mechanisms to deal with the avalanche of context data. In our case, the MAS approach results appropriated because each agent can represent an autonomous entity with different capabilities and offering different services but collaborating among them. Several tests have been performed to evaluate this platform and preliminary results and the conclusions are presented in this paper.
Internacional
Si
JCR del ISI
Si
Título de la revista
Information Fusion
ISSN
1566-2535
Factor de impacto JCR
3,472
Información de impacto
Datos JCR del año 2013
Volumen
23
DOI
10.1016/j.inffus.2014.03.003
Número de revista
Desde la página
43
Hasta la página
57
Mes
MAYO
Ranking
Posición: 9/130 (JCR-2015) Primer Tercio (1º Cuar-til) (Comp. Sciences, Artificial Intelligence) 4/105 ? Comp.Sciences, Theory & Methods; Primer Tercio (1er Cuartil)

Esta actividad pertenece a memorias de investigación

Participantes
  • Autor: Sara Rodríguez Universidad de Salamanca
  • Autor: Juan F. De Paz Universidad de Salamanca
  • Autor: Gabriel Villarrubia Universidad de Salamanca
  • Autor: Carolina Zato Universidad de Salamanca
  • Autor: Javier Bajo Perez UPM
  • Autor: Juan M. Corchado Universidad de Salamanca

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Inteligencia Artificial