Brief Announcement: Loosely-stabilizing Leader Election with Polylogarithmic Convergence Time

Authors Yuichi Sudo, Fukuhito Ooshita, Hirotsugu Kakugawa, Toshimitsu Masuzawa



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Author Details

Yuichi Sudo
  • Graduate School of Information Science and Technology, Osaka University, Japan
Fukuhito Ooshita
  • Graduate School of Science and Technology, Nara Institute of Science and Technology, Japan
Hirotsugu Kakugawa
  • Graduate School of Information Science and Technology, Osaka University, Japan
Toshimitsu Masuzawa
  • Graduate School of Information Science and Technology, Osaka University, Japan

Cite AsGet BibTex

Yuichi Sudo, Fukuhito Ooshita, Hirotsugu Kakugawa, and Toshimitsu Masuzawa. Brief Announcement: Loosely-stabilizing Leader Election with Polylogarithmic Convergence Time. In 32nd International Symposium on Distributed Computing (DISC 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 121, pp. 52:1-52:3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)
https://doi.org/10.4230/LIPIcs.DISC.2018.52

Abstract

We present a fast loosely-stabilizing leader election protocol in the population protocol model. It elects a unique leader in a poly-logarithmic time and holds the leader for a polynomial time with arbitrarily large degree in terms of parallel time, i.e, the number of steps per the population size.

Subject Classification

ACM Subject Classification
  • Theory of computation → Self-organization
Keywords
  • Self-stabilization
  • Loose-stabilization
  • Population protocols

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References

  1. D. Angluin, J Aspnes, Z. Diamadi, M.J. Fischer, and R. Peralta. Computation in networks of passively mobile finite-state sensors. Distributed Computing, 18(4):235-253, 2006. Google Scholar
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  3. Y. Sudo, J. Nakamura, Y. Yamauchi, F. Ooshita, et al. Loosely-stabilizing leader election in a population protocol model. Theoretical Computer Science, 444:100-112, 2012. Google Scholar
  4. Y. Sudo, F. Ooshita, H. Kakugawa, and T. Masuzawa. Loosely-stabilizing leader election on arbitrary graphs in population protocols. In OPODIS, pages 339-354, 2014. Google Scholar
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