• DocumentCode
    2480692
  • Title

    Connectivity probability based on star type deployment strategy for wireless sensor networks

  • Author

    Xu, Weitao ; Hao, Xiaohong ; Dang, Cunlu

  • Author_Institution
    Coll. of Electr. & Inf. Eng., Lanzhou Univ. of Technol., Lanzhou
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    1738
  • Lastpage
    1742
  • Abstract
    Based on enhance certainty information purpose of sensor node, a star deployment strategy scheme is proposed to improve connectivity probability for wireless sensor networks, we define two type deployment points, that are primary and minor deployment points, which are arranged different quantity sensor node. In addition, because sensor nodes are dropped in a batch from a helicopter, we think sensor nodes ultimately reside in the 3sigma range of deployment center based on 3-sigma theory. It is shown that star deployment networks have a significant local and global connectivity probability advantage compared with purely random and possion networks. Simulation shows that performance of sensor network can be considerable improved with the use of our proposed scheme. The scheme and its detailed performance evaluation are presented in this paper.
  • Keywords
    probability; wireless sensor networks; connectivity probability; helicopter; possion networks; random networks; sensor nodes; star type deployment strategy; wireless sensor networks; Communication system control; Gaussian distribution; Helicopters; Intelligent control; Military computing; Network topology; Patient monitoring; Safety; Wireless communication; Wireless sensor networks; Connectivity Probability; Deployment strategy; Gaussian Distribution; Wireless Sensor Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4593183
  • Filename
    4593183