• DocumentCode
    3066438
  • Title

    A Variable Threats Based Self-Organization Scheme for Wireless Sensor Networks

  • Author

    Zhong, Jian ; Bertok, Peter

  • Author_Institution
    Sch. of Comput. Sci. & Inf. Technol., R. Melbourne Inst. of Technol., Melbourne, VIC, Australia
  • fYear
    2009
  • fDate
    18-23 June 2009
  • Firstpage
    327
  • Lastpage
    332
  • Abstract
    Self-organization is an important issue in wireless sensor networks because of the inherent unreliability of the network. Besides, variable threats in the networks can not be ignored. Extending battery life and enhancing robustness under variable threats are two essential aspects which need to be considered when a self-organization scheme is explored. In order to address these issues, a redundant nodes selection scheme and a variable threats probability estimation scheme are proposed in this paper. RNS is able to select redundant nodes that can be switched off without affecting overall sensing coverage. TPE is able to help a sensor node to choose the most suitable path and avoid high-threat neighbors in order to reduce packet loss. The scenario with RNS extended battery life by 30% to 50%, and postponed the occurrence of first partitioning in the network by 27% to 140%. TPE decreased packet loss by 225% to 400% when a high threat level was involved.
  • Keywords
    packet radio networks; probability; telecommunication network topology; wireless sensor networks; RNS; packet loss; probability estimation; redundant nodes selection; self-organization; variable threats; wireless sensor networks; Australia; Batteries; Computer science; Electronic mail; Energy consumption; Information technology; Mobile robots; Network servers; Robustness; Wireless sensor networks; battery life; robustness; self-organization; variable threats; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensor Technologies and Applications, 2009. SENSORCOMM '09. Third International Conference on
  • Conference_Location
    Athens, Glyfada
  • Print_ISBN
    978-0-7695-3669-9
  • Type

    conf

  • DOI
    10.1109/SENSORCOMM.2009.57
  • Filename
    5210907