Title
Survivors in Leader Election Algorithms.
Abstract
We consider the number of survivors in a broad class of fair leader election algorithms after a number of election rounds. We give sufficient conditions for the number of survivors to converge to a product of independent identically distributed random variables. The number of terms in the product is determined by the round number considered. Each individual term in the product is a limit of a scaled random variable associated with the splitting protocol. The proof is established via convergence (to 0) of the first-order Wasserstein distance from the product limit. In a broader context, the paper is a case study of a class of stochastic recursive equations. We give two illustrative examples, one with binomial splitting protocol (for which we show that a normalized version is asymptotically Gaussian) and one with uniform splitting protocol.
Year
DOI
Venue
2014
10.1016/j.spl.2013.09.011
Statistics & Probability Letters
Keywords
Field
DocType
60E05,60F05,68W40
Leader election,Convergence (routing),Randomized algorithm,Discrete mathematics,Random variable,Weak convergence,Algorithm,Gaussian,Statistics,Recursion,Mathematics,Round number
Conference
Volume
Issue
ISSN
83
12
0167-7152
Citations 
PageRank 
References 
2
0.43
5
Authors
3
Name
Order
Citations
PageRank
Ravi Kalpathy120.43
Hosam M. Mahmoud218355.63
Walter Rosenkrantz320.43