• DocumentCode
    715573
  • Title

    Microimmune algorithm for sensor network localization

  • Author

    Glumac, Slaven ; Arbula, Damir ; Kovacic, Zdenko

  • Author_Institution
    Fac. of Electr. Eng. & Comput., Univ. of Zagreb, Zagreb, Croatia
  • fYear
    2015
  • fDate
    13-15 April 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    An algorithm for solving a sensor localization problem on a low-cost microcontroller platform is presented in this paper. Localization is described as an optimization problem and the use of microimmune algorithm (μIA) is proposed for solving it. The presented design of μIA is able to perform under restricted memory capacity of a majority of standard low-cost microcontroller platforms. A microimmune optimization approach was compared to a closed form solution using subspace techniques and based on the simulation experiments, a comparable quality of both optimization approaches was obtained.
  • Keywords
    microcontrollers; optimisation; sensors; closed form solution; low-cost microcontroller platform; memory capacity; microimmune algorithm; microimmune optimization approach; sensor network localization; subspace techniques; Algorithm design and analysis; Mathematical model; Memory management; Microcontrollers; Optimization; Robot sensing systems; Signal processing algorithms; localization; microimmune algorithm; optimization; sensor networks; subspace techniques;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensors Applications Symposium (SAS), 2015 IEEE
  • Conference_Location
    Zadar
  • Type

    conf

  • DOI
    10.1109/SAS.2015.7133647
  • Filename
    7133647