• DocumentCode
    2980903
  • Title

    A Context Aware Connected Home Platform for Pervasive Applications

  • Author

    Meliones, A. ; Economou, D. ; Grammatikakis, I. ; Kameas, A. ; Goumopoulos, C.

  • Author_Institution
    inAccess Networks, Athens
  • fYear
    2008
  • fDate
    20-24 Oct. 2008
  • Firstpage
    120
  • Lastpage
    125
  • Abstract
    Context-aware systems are an emerging genre of computer systems that help add some forms of intelligence to our surroundings. The ATRACO project uses the ambient ecology metaphor to conceptualize a space populated by connected devices and services that are interrelated with each other, the environment and the people, supporting the users´ everyday activities in a meaningful way. Everyday appliances, devices, and context aware artifacts are part of the ATRACO ambient ecologies. In this paper we present the connected home platform adopted by ATRACO and its evolution to provide network adaptation and context-aware services. A flexible and distributed context-aware service model is introduced using the OSGi and UPnP frameworks. UPnP is used to converge the existing network infrastructure comprising of heterogeneous technologies and protocols at the IP level. Furthermore, we introduce a context-aware service model and provide paradigms of context aware services that build upon perceptual and context aware components of the platform.
  • Keywords
    ubiquitous computing; ATRACO ambient ecologies; ambient ecology metaphor; context aware artifacts; context aware connected home platform; context-aware services; network adaptation; Application software; Context awareness; Context modeling; Context-aware services; Environmental factors; Intelligent networks; Intelligent sensors; Pervasive computing; Protocols; Ubiquitous computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Self-Adaptive and Self-Organizing Systems Workshops, 2008. SASOW 2008. Second IEEE International Conference on
  • Conference_Location
    Venice
  • Print_ISBN
    978-0-7695-3553-1
  • Electronic_ISBN
    978-0-7695-3553-1
  • Type

    conf

  • DOI
    10.1109/SASOW.2008.26
  • Filename
    4800664