• DocumentCode
    2992097
  • Title

    Shrinkage and Elimination of Gaps on Recognized Wireless Network Boundary Node Chain

  • Author

    Jia Rui-wu ; Shi Geng-chen

  • Author_Institution
    State Key Lab. of Electromech. Eng. & Control, Beijing Inst. of Technol. Beijing, Beijing, China
  • fYear
    2009
  • fDate
    18-20 Jan. 2009
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    The boundary node chain of a wireless network with arbitrary deployment, recognized through method based on local generalized convex hull (Igch) or local convex view (lcv), often has gaps, especially where notches or holes exist. The existence of these gaps may cause serious unexpected problems in some wireless network applications. When using Igch to recognize the boundary of a network, a smaller lower limit to parameter ¿ may be selected to reduce both number and size of the gaps on the recognized boundary node chain. Yet as the lower limit to parameter ¿ decreases to certain value, it may cause too many nodes to be recognized as boundary nodes, especially when the network has a lower node density deployment. A novel method to single out one by one the edge nodes around the notches to supplement recognized boundary is proposed in this paper as an amendment to the Igch. This method may be used to shrink and even eliminate the gaps on the recognized boundary node chain without great increase of recognized boundary node number.
  • Keywords
    radio networks; Igch; boundary node chain; gaps elimination; gaps shrinkage; lcv; local convex view; local generalized convex hull; node density deployment; wireless network; Algorithm design and analysis; Analytical models; Azimuth; Gaussian distribution; Laboratories; Wireless networks; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Network and Multimedia Technology, 2009. CNMT 2009. International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5272-9
  • Type

    conf

  • DOI
    10.1109/CNMT.2009.5374822
  • Filename
    5374822