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arXiv · 1503.07991

Leader Election and Shape Formation with Self-Organizing Programmable Matter

Joshua J. Daymude·Zahra Derakhshandeh·Robert Gmyr·Thim Strothmann·Rida Bazzi·Andréa W. Richa·Christian Scheideler
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Abstract

We consider programmable matter consisting of simple computational elements, called particles, that can establish and release bonds and can actively move in a self-organized way, and we investigate the feasibility of solving fundamental problems relevant for programmable matter. As a suitable model for such self-organizing particle systems, we will use a generalization of the geometric amoebot model first proposed in SPAA 2014. Based on the geometric model, we present efficient local-control algorithms for leader election and line formation requiring only particles with constant size memory, and we also discuss the limitations of solving these problems within the general amoebot model.

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Joshua J. Daymude, Zahra Derakhshandeh, Robert Gmyr, Thim Strothmann, Rida Bazzi, Andréa W. Richa, Christian Scheideler. 2015-03-27. Leader Election and Shape Formation with Self-Organizing Programmable Matter. https://arxiv.org/abs/1503.07991

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