• DocumentCode
    2651977
  • Title

    A bio-inspired time synchronization algorithm for wireless sensor networks

  • Author

    Liu, Li ; Xiao, Yang ; Zhang, Jingyuan

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Alabama, Tuscaloosa, AL, USA
  • Volume
    4
  • fYear
    2010
  • fDate
    16-18 April 2010
  • Abstract
    In a Wireless Sensor Network (WSN), time synchronization is highly desired because data collected from agglomerated sensors become truly meaningful when they are stamped with accurate time. Most of current studies on time synchronization continue to adapt algorithms from a general distributed system. Inspired by Optimal Foraging Theory (OFT) in ecology, we proposed a novel algorithm for time synchronization in wireless sensor networks in this paper. The new strategy reduces or avoids redundant message exchange in time synchronization and extends the lifetime of a sensor network by reducing energy expenditure of time synchronization.
  • Keywords
    ecology; synchronisation; wireless sensor networks; agglomerated sensors; bio-inspired time synchronization algorithm; ecology; optimal foraging theory; sensor network lifetime; wireless sensor networks; Animals; Base stations; Biosensors; Clocks; Environmental factors; Monitoring; Navigation; Synchronization; Vehicles; Wireless sensor networks; Bio-inspired Computing; Sensor Networks; Time synchronization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-6347-3
  • Type

    conf

  • DOI
    10.1109/ICCET.2010.5485576
  • Filename
    5485576