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
Link To Document :
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