Brief Announcement: Neighborhood Mutual Remainder and Its Self-Stabilizing Implementation of Look-Compute-Move Robots

Authors Shlomi Dolev, Sayaka Kamei, Yoshiaki Katayama, Fukuhito Ooshita, Koichi Wada



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Author Details

Shlomi Dolev
  • Department of Computer Science, Ben-Gurion University of the Negev, Beer-Sheva, Israel
Sayaka Kamei
  • Graduate School of Engineering, Hiroshima University, Japan
Yoshiaki Katayama
  • Graduate School of Engineering, Nagoya Institute of Technology, Japan
Fukuhito Ooshita
  • Graduate School of Science and Technology, Nara Institute of Science and Technology, Japan
Koichi Wada
  • Faculty of Science and Engineering, Hosei University, Japan

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Shlomi Dolev, Sayaka Kamei, Yoshiaki Katayama, Fukuhito Ooshita, and Koichi Wada. Brief Announcement: Neighborhood Mutual Remainder and Its Self-Stabilizing Implementation of Look-Compute-Move Robots. In 33rd International Symposium on Distributed Computing (DISC 2019). Leibniz International Proceedings in Informatics (LIPIcs), Volume 146, pp. 43:1-43:3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)
https://doi.org/10.4230/LIPIcs.DISC.2019.43

Abstract

In this paper, we define a new concept neighborhood mutual remainder (NMR). An NMR distributed algorithms should satisfy global fairness, l-exclusion and repeated local rendezvous requirements. We give a simple self-stabilizing algorithm to demonstrate the design paradigm to achieve NMR, and also present applications of NMR to a Look-Compute-Move robot system.

Subject Classification

ACM Subject Classification
  • Theory of computation → Distributed algorithms
Keywords
  • neighborhood mutual remainder
  • self-stabilization
  • LCM robot

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References

  1. S. Dolev, S. Kamei, Y. Katayama, F. Ooshita, and K. Wada. Neighborhood Mutual Remainder: Self-Stabilizing Implementation of Look Compute Move. arXiv, 2019. URL: http://arxiv.org/abs/1903.02843.
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