TY - UNPB
T1 - Accelerating Amoebots via Reconfigurable Circuits
AU - Dolev, Shlomi
AU - Feldmann, Michael
AU - Padalkin, Andreas
AU - Scheideler, Christian
PY - 2021/5/11
Y1 - 2021/5/11
N2 - We consider an extension to the geometric amoebot model that allows amoebots to form so-called \emph{circuits}. Given a connected amoebot structure, a circuit is a subgraph formed by the amoebots that permits the instant transmission of signals. We show that such an extension allows for significantly faster solutions to a variety of problems related to programmable matter. More specifically, we provide algorithms for leader election, consensus, compass alignment, chirality agreement and shape recognition. Leader election can be solved in rounds, w.h.p., consensus in rounds and both, compass alignment and chirality agreement, can be solved in rounds, w.h.p. For shape recognition, the amoebots have to decide whether the amoebot structure forms a particular shape. We show how the amoebots can detect a parallelogram with linear and polynomial side ratio within rounds, w.h.p. Finally, we show that the amoebots can detect a shape composed of triangles within rounds, w.h.p.
AB - We consider an extension to the geometric amoebot model that allows amoebots to form so-called \emph{circuits}. Given a connected amoebot structure, a circuit is a subgraph formed by the amoebots that permits the instant transmission of signals. We show that such an extension allows for significantly faster solutions to a variety of problems related to programmable matter. More specifically, we provide algorithms for leader election, consensus, compass alignment, chirality agreement and shape recognition. Leader election can be solved in rounds, w.h.p., consensus in rounds and both, compass alignment and chirality agreement, can be solved in rounds, w.h.p. For shape recognition, the amoebots have to decide whether the amoebot structure forms a particular shape. We show how the amoebots can detect a parallelogram with linear and polynomial side ratio within rounds, w.h.p. Finally, we show that the amoebots can detect a shape composed of triangles within rounds, w.h.p.
U2 - 10.48550/arXiv.2105.05071
DO - 10.48550/arXiv.2105.05071
M3 - Preprint
BT - Accelerating Amoebots via Reconfigurable Circuits
ER -