• DocumentCode
    2607557
  • Title

    TBRA: Termites Based Routing Algorithm in 3D Wireless Sensor Networks

  • Author

    Lin, Mu-Sheng ; Leu, Jenq-Shiou ; Yu, Wen-Chi ; Li, Kuen-Han ; Wu, Jean-Lien C.

  • Author_Institution
    Dept. of Electron. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
  • fYear
    2012
  • fDate
    6-9 May 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper proposes a new algorithm, TBRA (Termites- Based Routing Algorithm), for use in three- dimensional mobile wireless sensor networks. The TBRA is a routing selection strategy based on the concept of the ant colony optimization algorithm. It is difficult to establish and maintain optimal routes in a 3D space because the RSSI, energy of sensor nodes, vary with time. This routing selection strategy can be used for various traffic conditions by measuring and counting the average energy of nodes, RSSI value. The main contribution of this study combines ACO algorithm and Durkin´s propagation model to derive an efficient routing scheme for wireless sensor networks in a 3D space.
  • Keywords
    ant colony optimisation; mobile radio; telecommunication network routing; telecommunication traffic; wireless sensor networks; 3D wireless sensor networks; Durkin propagation; RSSI value; TBRA; ant colony optimization; optimal routes; routing selection; termites based routing algorithm; three-dimensional mobile wireless sensor networks; traffic conditions; Delay; Load modeling; Mobile communication; Routing; Routing protocols; Solid modeling; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Spring), 2012 IEEE 75th
  • Conference_Location
    Yokohama
  • ISSN
    1550-2252
  • Print_ISBN
    978-1-4673-0989-9
  • Electronic_ISBN
    1550-2252
  • Type

    conf

  • DOI
    10.1109/VETECS.2012.6239868
  • Filename
    6239868