• DocumentCode
    2267673
  • Title

    An efficient depth-adjustment deployment scheme for underwater wireless sensor networks

  • Author

    Hui, Wang ; Meiqin, Liu ; Senlin, Zhang

  • Author_Institution
    State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, P.R. China
  • fYear
    2015
  • fDate
    28-30 July 2015
  • Firstpage
    7771
  • Lastpage
    7776
  • Abstract
    Underwater Wireless Sensor Networks (UWSNs) have attracted significant research attention because of the broad application prospects. Unlike a terrestrial network, an underwater sensor network is a three-dimensional (3-D) network and it has peculiar characteristics such as low available bandwidth, large propagation delays, limited energy, etc. Also, complexity of the underwater environment brings about new challenges in node deployment issue. In this paper, a depth-adjustment deployment scheme based on Voronoi diagrams is proposed. It aims to maximize the sensing coverage and behave well in the network lifetime. The nodes are initially deployed on the surface of the water randomly and they can only move in vertical direction in 3-D space. Based on Voronoi diagrams, we find out the scheduling nodes whose disappearance will not decrease the sensing coverage in the current plane. Then let the scheduling nodes move vertically towards to the determined depth. As a result, our scheme divides the target region into different layers and the whole deployment process is simplified. Simulation experiments turn out that our scheme has a good performance in network sensing coverage and connectivity, also it outperforms random and optimal node deployment in the network lifetime.
  • Keywords
    Probabilistic logic; Robot sensing systems; Sea surface; Wireless communication; Wireless sensor networks; Underwater wireless sensor networks; Voronoi diagrams; depth-adjustment; sensing coverage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2015 34th Chinese
  • Conference_Location
    Hangzhou, China
  • Type

    conf

  • DOI
    10.1109/ChiCC.2015.7260874
  • Filename
    7260874