• DocumentCode
    2802134
  • Title

    Smart dust: Monte Carlo simulation of self-organised transport

  • Author

    Barker, J. ; Barmpoutis, A.

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Glasgow Univ., UK
  • fYear
    2004
  • fDate
    24-27 Oct. 2004
  • Firstpage
    182
  • Lastpage
    183
  • Abstract
    Smart dust has been conceived as millimeter scale autonomous systems that form the basis for massively distributed wireless sensor networks according to B. A. Warneke and K. S. J. Pister (2002) and B. A. Warneke and K. S. J. Pister (2004). Smart dust motes have been demonstrated that pack sensors, interfaces, power sources, digital control communications and processing circuitry into a few cubic millimeters volume. The authors address the problem of how to subsequently move dust motes around in their application environment. Solutions involving robot insect motes have been advocated where distances and times are small; but this introduces additional mechanical and electronic complexity plus severe constraints on power sources. Instead, the authors focus on the possibility of extracting power from the natural fluctuating forces that act on the motes.
  • Keywords
    Monte Carlo methods; circuit complexity; circuit simulation; electronic engineering computing; nanopositioning; network synthesis; network topology; wireless sensor networks; Monte Carlo simulation; Smart dust; distributed wireless sensor networks; dust motes; electronic complexity; mechanical complexity; millimeter scale autonomous systems; self-organised transport; Circuit synthesis; Circuit topology; Monte Carlo methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Electronics, 2004. IWCE-10 2004. Abstracts. 10th International Workshop on
  • Conference_Location
    West Lafayette, IN, USA
  • Print_ISBN
    0-7803-8649-3
  • Type

    conf

  • DOI
    10.1109/IWCE.2004.1407387
  • Filename
    1407387