• DocumentCode
    2104871
  • Title

    Autonomic Role and Mission Allocation Framework for Wireless Sensor Networks

  • Author

    Bourdenas, Themistoklis ; Tei, Kenji ; Honiden, Shinichi ; Sloman, Morris

  • Author_Institution
    Dept. of Comput., Imperial Coll. London, London, UK
  • fYear
    2011
  • fDate
    3-7 Oct. 2011
  • Firstpage
    61
  • Lastpage
    70
  • Abstract
    Pervasive applications incorporate physical components that are exposed to everyday use and a large number of conditions and external factors that can lead to faults and failures. It is also possible that application requirements change during deployment and the network needs to adapt to a new context. Consequently, pervasive systems must be capable to autonomically adapt to changing conditions without involving users becoming a transparent asset in the environment. In this paper, we present an autonomic mechanism for initial task assignment in sensor networks, an NP-hard problem. We also study on-line adaptation of the original deployment which considers real-time metrics for maximising utility and lifetime of applications and smooth service degradation in the face of component failures.
  • Keywords
    fault tolerant computing; optimisation; telecommunication network reliability; ubiquitous computing; wireless sensor networks; NP-hard problem; autonomic mechanism; autonomic role; component failures; external factors; initial task assignment; mission allocation framework; online adaptation; pervasive applications; pervasive systems; physical components; real-time metrics; smooth service degradation; transparent asset; wireless sensor networks; Acceleration; Accelerometers; Computer architecture; Equations; Monitoring; Resource management; Temperature sensors; autonomic; self-adapting; task allocation; wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Self-Adaptive and Self-Organizing Systems (SASO), 2011 Fifth IEEE International Conference on
  • Conference_Location
    Ann Arbor, MI
  • ISSN
    1949-3673
  • Print_ISBN
    978-1-4577-1614-0
  • Electronic_ISBN
    1949-3673
  • Type

    conf

  • DOI
    10.1109/SASO.2011.17
  • Filename
    6063488