• DocumentCode
    27996
  • Title

    An Adaptive Architecture for Ambient Intelligence Based on Meta-modeling, Smart Agents, and Wireless Sensor Networks

  • Author

    Restrepo, Silvia E. ; Pezoa, Jorge E. ; Ovalle Carranza, Demetrio A.

  • Author_Institution
    Electr. Eng. Dept., Univ. de Concepcion, Concepcion, Chile
  • Volume
    12
  • Issue
    8
  • fYear
    2014
  • fDate
    Dec. 2014
  • Firstpage
    1508
  • Lastpage
    1514
  • Abstract
    In this paper, an Ambient Intelligence (AmI) architecture for devising and implementing a smart laboratory in a university is presented. The architecture relies on a novel meta-model that abstracts the laboratory ambient using a context model, an adaptation model, an end-user model, and a domain model. Thus, the architecture offers, to the end-users, a set of adaptive AmI services that are supplied by smart agents and wireless sensor networks. The architecture was coded using SQLite, Jade, Protégé, and CLIPs and simulated under Oracle´s Solarium environment. The latency and scalability of the proposed architecture, as well as its ability to supply effectively the AmI services, were tested using both qualitative and quantitative standard performance metrics.
  • Keywords
    ambient intelligence; computer aided instruction; educational institutions; laboratories; software agents; wireless sensor networks; AmI; CLIP; Jade; Oracle Solarium environment; Protege; SQLite; adaptation model; adaptive architecture; ambient intelligence; context model; domain model; end-user model; meta-modeling; smart agents; smart laboratory; university; wireless sensor networks; Adaptation models; Ambient intelligence; Computer architecture; Context modeling; Laboratories; Software; Wireless sensor networks; Ambient Intelligence; Smart Agents; Wireless Sensor Networks;
  • fLanguage
    English
  • Journal_Title
    Latin America Transactions, IEEE (Revista IEEE America Latina)
  • Publisher
    ieee
  • ISSN
    1548-0992
  • Type

    jour

  • DOI
    10.1109/TLA.2014.7014521
  • Filename
    7014521