• DocumentCode
    2020018
  • Title

    Anchored desynchronization

  • Author

    Lien, Ching-Min ; Chang, Shu-Hao ; Chang, Cheng-Shang ; Lee, Duan-Shin

  • Author_Institution
    Inst. of Commun. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan
  • fYear
    2012
  • fDate
    25-30 March 2012
  • Firstpage
    2966
  • Lastpage
    2970
  • Abstract
    Distributed algorithms based on pulse-coupled oscillators have been recently proposed in [4], [14] for achieving desynchronization of a system of identical nodes. Though these algorithms are shown to work properly by various computer simulations, they are still lack of rigorous theoretical proofs for both the convergence of the algorithms and the rates of convergence for these algorithms. On the other hand, all the nodes are not likely to be identical in many practical applications. In particular, there might be a node that needs to interact with the “outside” world and thus may not have the freedom to adjust its local clock. Motivated by all these, in this paper we consider the desynchronization problem in a system where there exists an anchored node that never adjusts the phase of its oscillator. For such a system, we propose a generic anchored desynchronization algorithm that achieves ∈-desynchrony (defined in [4]) in O(n2ln(n/∈)) rounds of firings. We also prove that our algorithm converges even for the generalized processor sharing (GPS) scheme, where every node is assigned a weight and the amount of resource received by a node is proportional to its weight. In comparison with the original algorithm in [4], we show that the rate of convergence of the original algorithm in [4] is not always better than ours and it is only better in the asymptotic regime.
  • Keywords
    distributed algorithms; oscillators; synchronisation; time division multiple access; anchored node; computer simulations; desynchronization problem; distributed algorithms; generalized processor sharing scheme; generic anchored desynchronization algorithm; pulse-coupled oscillators; Approximation algorithms; Convergence; Eigenvalues and eigenfunctions; Global Positioning System; Heuristic algorithms; Oscillators; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM, 2012 Proceedings IEEE
  • Conference_Location
    Orlando, FL
  • ISSN
    0743-166X
  • Print_ISBN
    978-1-4673-0773-4
  • Type

    conf

  • DOI
    10.1109/INFCOM.2012.6195739
  • Filename
    6195739