• DocumentCode
    3418890
  • Title

    Self-synchronized duty-cycling for mobile sensor networks with energy harvesting capabilities: A swarm intelligence study

  • Author

    Hernández, Hugo ; Blum, Christian ; Middendorf, Martin ; Ramsch, Kai ; Scheidler, Alexander

  • Author_Institution
    ALBCOM Res. Group, Univ. Politec. de Catalunya, Barcelona
  • fYear
    2009
  • fDate
    March 30 2009-April 2 2009
  • Firstpage
    153
  • Lastpage
    159
  • Abstract
    When asked if ants rest or if they work untiringly all day long, most people would probably respond that they had no idea. In fact, when watching the bustling life of an ant hill it is hard to imagine that ants take a rest from now and then. However, biologists discovered that ants rest quite a large fraction of their time. Surprisingly, not only single ants show alternate phases of resting and being active, but whole ant colonies exhibit synchronized activity phases that result from self-organization. Inspired by this self-synchronization behaviour of ant colonies, we develop a mechanism for self-synchronized duty-cycling in mobile sensor networks. In addition, we equip sensor nodes with energy harvesting capabilities such as, for example, solar cells. We show that the self-synchronization mechanism can be made adaptive depending on the available energy.
  • Keywords
    evolutionary computation; mobile radio; wireless sensor networks; ant colonies; energy harvesting capabilities; mobile sensor networks; self-synchronized duty-cycling; swarm intelligence; synchronized activity phases; Batteries; Computer science; Energy states; Intelligent sensors; Mobile computing; Particle swarm optimization; Patient monitoring; Sensor phenomena and characterization; Switches; Temperature sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Swarm Intelligence Symposium, 2009. SIS '09. IEEE
  • Conference_Location
    Nashville, TN
  • Print_ISBN
    978-1-4244-2762-8
  • Type

    conf

  • DOI
    10.1109/SIS.2009.4937858
  • Filename
    4937858