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Deterministic Leader Election in Programmable Matter

Authors Yuval Emek, Shay Kutten, Ron Lavi, William K. Moses Jr.

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Author Details

Yuval Emek
  • Faculty of Industrial Engineering and Management, Technion - IIT, Haifa, Israel
Shay Kutten
  • Faculty of Industrial Engineering and Management, Technion - IIT, Haifa, Israel
Ron Lavi
  • Faculty of Industrial Engineering and Management, Technion - IIT, Haifa, Israel
William K. Moses Jr.
  • Faculty of Industrial Engineering and Management, Technion - IIT, Haifa, Israel

Funding

  • Emek, Yuval: The work of Y. Emek was supported in part by an Israeli Science Foundation grant number 1016/17.
  • Kutten, Shay: The work of this author was supported in part by a grant from the Bi-national Science Foundation.
  • Lavi, Ron: This research was supported by the ISF-NSFC joint research program (grant No. 2560/17).
  • Moses Jr., William K.: The work of this author was supported in part by a grant from the Israeli Ministry of Science.

Cite AsGet BibTex

Yuval Emek, Shay Kutten, Ron Lavi, and William K. Moses Jr.. Deterministic Leader Election in Programmable Matter. In 46th International Colloquium on Automata, Languages, and Programming (ICALP 2019). Leibniz International Proceedings in Informatics (LIPIcs), Volume 132, pp. 140:1-140:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)
https://doi.org/10.4230/LIPIcs.ICALP.2019.140

Abstract

Addressing a fundamental problem in programmable matter, we present the first deterministic algorithm to elect a unique leader in a system of connected amoebots assuming only that amoebots are initially contracted. Previous algorithms either used randomization, made various assumptions (shapes with no holes, or known shared chirality), or elected several co-leaders in some cases. Some of the building blocks we introduce in constructing the algorithm are of interest by themselves, especially the procedure we present for reaching common chirality among the amoebots. Given the leader election and the chirality agreement building block, it is known that various tasks in programmable matter can be performed or improved. The main idea of the new algorithm is the usage of the ability of the amoebots to move, which previous leader election algorithms have not used.

Subject Classification

ACM Subject Classification
  • Theory of computation → Distributed computing models
  • Computing methodologies → Mobile agents
  • Theory of computation → Self-organization
Keywords
  • programmable matter
  • geometric amoebot model
  • leader election

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References

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