• DocumentCode
    1922318
  • Title

    Using Hybrid Artificial Bee Colony Algorithm to Extend Wireless Sensor Network Lifetime

  • Author

    Chen, Rung-Ching ; Chang, Wei-Lung ; Shieh, Chia-Fen ; Zou, Cliff C.

  • Author_Institution
    Dept. of Inf. Manage., Chaoyang Univ. of Technol., Taichung, Taiwan
  • fYear
    2012
  • fDate
    26-28 Sept. 2012
  • Firstpage
    156
  • Lastpage
    161
  • Abstract
    In recent years, lots of researches have explored how to extend the lifetime of wireless sensor networks. Many of them focus on how to defend against Denial of Service (DoS) [1] attacks, and focus on how to arrange the locations of sensor nodes in different wireless sensor network architectures to extend the lifetime of sensor networks and to improve network security. This paper will use artificial bee colony algorithm and Or-opt algorithm to plan a transmission route of the detect features. Patrol nodes are also exploited to reduce power depletion and to extend the network lifetime. Patrol nodes will collect sensing data of nearby sensor nodes, detecting patterns in the collection data to confirm the collection data whether is normal or not. The experiments proof our method can reduce the time consume for dada transformation between patrol nodes.
  • Keywords
    optimisation; telecommunication network planning; telecommunication network reliability; telecommunication network routing; telecommunication security; wireless sensor networks; DoS attacks; denial-of-service attacks; hybrid artificial bee colony algorithm; network security; or-opt algorithm; patrol nodes; pattern detection; power depletion; sensor nodes; transmission route planning; wireless sensor network lifetime; Base stations; Indexes; Optimization; Probability; Sociology; Statistics; Wireless sensor networks; artificial bee colony algorithm; the network lifetime; wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovations in Bio-Inspired Computing and Applications (IBICA), 2012 Third International Conference on
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-1-4673-2838-8
  • Type

    conf

  • DOI
    10.1109/IBICA.2012.27
  • Filename
    6337655