• DocumentCode
    3533368
  • Title

    Self-organising sensor web using Cell-Fate Optimisation

  • Author

    Van Zyl, Terence L. ; Ehlers, Elizabeth M.

  • Author_Institution
    Acad. of Inf. Technol., Univ. of Johannesburg, Johannesburg, South Africa
  • Volume
    5
  • fYear
    2009
  • fDate
    12-17 July 2009
  • Abstract
    The Sensor Web as an open complex adaptive system exhibits many characteristic that are common to self-organising systems. One of the characteristics of the Sensor Web is that of self-adaptivity in a changing environment. The changing environment may be doing so both dynamically and stochastically. When presented by a dynamic and stochastic changing environment, such as a sensor resource unexpectedly going down, a self-adaptive system should exhibit robustness. Cell-fate optimisation and signal regulatory networks provide a mechanism for self-organisation of agents in environments that are dynamic, distributed and possibly stochastic. Cell-fate optimisation and signal regulatory networks are shown to be effective mechanisms not only for addressing robustness but also for addressing adaptivity in the sensor web in general.
  • Keywords
    environmental science computing; optimisation; self-adjusting systems; wireless sensor networks; cell-fate optimisation; dynamic changing environment; open complex adaptive system; self-organising sensor web; signal regulatory networks; stochastic changing environment; Adaptive systems; Robustness; Sensor phenomena and characterization; Sensor systems; Stochastic processes; Stochastic systems; Cell-Fate Optimisation; Self-Adaptive System; Self-Organising; Sensor Web; Signal Regulatory Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-4244-3394-0
  • Electronic_ISBN
    978-1-4244-3395-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2009.5417632
  • Filename
    5417632