• DocumentCode
    2920798
  • Title

    A self-stabilizing protocol for minimal weighted dominating sets in arbitrary networks

  • Author

    Guangyuan Wang ; Hua Wang ; Xiaohui Tao ; Ji Zhang

  • Author_Institution
    Dept. of Math. & Comput., Univ. of Southern Queensland, Toowoomba, QLD, Australia
  • fYear
    2013
  • fDate
    27-29 June 2013
  • Firstpage
    496
  • Lastpage
    501
  • Abstract
    A lot of self-stabilizing algorithms for computing dominating sets problem have been proposed in the literature due to many real-life applications. Most of the proposed algorithms either work for dominating sets with a uniform weight or find approximation solutions to weighted dominating sets. However, for non-uniform weighted dominating sets (WDS) problem, there is no self-stabilizing algorithm for the WDS. Furthermore, how to find the minimal weighted dominating set is a challenge. In this paper, we propose a self-stabilizing algorithm for the minimal weighted dominating set (MWDS) under a central daemon model when operating in any general network. We further prove that the worst case convergence time of the algorithm from any arbitrary initial state is O(n2) steps where n is the number of nodes in the network.
  • Keywords
    approximation theory; computational complexity; convergence; network theory (graphs); set theory; approximation solution; arbitrary network; central daemon model; convergence time; minimal weighted dominating set; self-stabilizing protocol; Algorithm design and analysis; Approximation algorithms; Approximation methods; Cities and towns; Convergence; Partitioning algorithms; Protocols; Central daemon; Graph algorithm; Minimal weighted dominating set; Self-stabilizing algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Supported Cooperative Work in Design (CSCWD), 2013 IEEE 17th International Conference on
  • Conference_Location
    Whistler, BC
  • Print_ISBN
    978-1-4673-6084-5
  • Type

    conf

  • DOI
    10.1109/CSCWD.2013.6581012
  • Filename
    6581012