• DocumentCode
    2012546
  • Title

    Self-Adaptability and Organization for Pervasive Computing and Sensor Network Environments Using a Biologically-Inspired Approach

  • Author

    Sakhaee, Ehssan ; Wakamiya, Naoki ; Murata, Masayuki

  • Author_Institution
    Grad. Sch. of Inf. Sci. & Technol., Osaka Univ., Suita, Japan
  • fYear
    2008
  • fDate
    10-12 Dec. 2008
  • Firstpage
    892
  • Lastpage
    895
  • Abstract
    In this paper we propose an architecture which integrates the notion of self-adaptability and self-organization in the pervasive computing architecture. Furthermore we describe how a biologically-inspired approach may be a good candidate for this purpose in order to provide a resilient, self-adaptive system similar to living biological systems. Additionally the emergent intelligence that would ultimately encompass the human being and its environment would inevitably assist us where our consciousness is not present.
  • Keywords
    distributed sensors; self-adjusting systems; ubiquitous computing; biologically-inspired approach; pervasive computing; self-adaptive system; self-organization; sensor network environments; Ambient intelligence; Biological systems; Biology; Biosensors; Computer architecture; Differential equations; Distributed processing; Information science; Pervasive computing; Stability; ambient intelligence; pervasive computing; self-adaptability; self-organization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing with Applications, 2008. ISPA '08. International Symposium on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    978-0-7695-3471-8
  • Type

    conf

  • DOI
    10.1109/ISPA.2008.97
  • Filename
    4725243