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Article . 2009
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Article . 2009
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Parallel Processing Letters
Article . 2009 . Peer-reviewed
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SCATTER OF ROBOTS

Authors: Dieudonné, Yoann; Petit, Franck;

SCATTER OF ROBOTS

Abstract

In this paper, we investigate the scatter problem, which is defined as follows: Given a set of n robots, regardless of the initial position of the robots on the plane, eventually, no two robots are located at the same position forever. We show that this problem cannot be deterministically solved. Next, we propose a randomized algorithm. The proposed solution is trivially self-stabilizing. We then show how to design a self-stabilizing version of any deterministic solution for the Pattern Formation and the Gathering problems for any number n ≥ 2 of robots.

Country
France
Keywords

[INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS]

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    17
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
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    Top 10%
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    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Average
Top 10%
Top 10%
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