• DocumentCode
    3722685
  • Title

    Counting with Population Protocols

  • Author

    Yves Mocquard;Emmanuelle Anceaume;James Aspnes;Yann Busnel;Bruno Sericola

  • Author_Institution
    IRISA, Univ. de Rennes 1, Rennes, France
  • fYear
    2015
  • Firstpage
    35
  • Lastpage
    42
  • Abstract
    The population protocol model provides theoretical foundations for analyzing the properties emerging from simple and pair wise interactions among a very large number n of anonymous agents. The problem tackled in this paper is the following one: is there an efficient population protocol that exactly counts the difference k between the number of agents that initially and independently set their state to "A" and the one that initially set it to "B", assuming that each agent only uses a finite set of states? We propose a solution which guarantees with any high probability that after O(log n) interactions any agent outputs the exact value of k. Simulation results illustrate our theoretical analysis.
  • Keywords
    "Protocols","Sociology","Statistics","Convergence","Computational modeling","Yttrium","Stochastic processes"
  • Publisher
    ieee
  • Conference_Titel
    Network Computing and Applications (NCA), 2015 IEEE 14th International Symposium on
  • Type

    conf

  • DOI
    10.1109/NCA.2015.35
  • Filename
    7371700