Ascending runs in dependent uniformly distributed random variables: Application to wireless networks
Discrete Mathematics
2008-02-25 v2 Networking and Internet Architecture
Combinatorics
Probability
Abstract
We analyze in this paper the longest increasing contiguous sequence or maximal ascending run of random variables with common uniform distribution but not independent. Their dependence is characterized by the fact that two successive random variables cannot take the same value. Using a Markov chain approach, we study the distribution of the maximal ascending run and we develop an algorithm to compute it. This problem comes from the analysis of several self-organizing protocols designed for large-scale wireless sensor networks, and we show how our results apply to this domain.
Cite
@article{arxiv.0802.1387,
title = {Ascending runs in dependent uniformly distributed random variables: Application to wireless networks},
author = {Nathalie Mitton and Katy Paroux and Bruno Sericola and Sébastien Tixeuil},
journal= {arXiv preprint arXiv:0802.1387},
year = {2008}
}