TY - GEN
T1 - Leader election and shape formation with self-organizing programmable matter
AU - Derakhshandeh, Zahra
AU - Gmyr, Robert
AU - Strothmann, Thim
AU - Bazzi, Rida
AU - Richa, Andrea
AU - Scheideler, Christian
N1 - Funding Information:
Z. Derakhshandeh and A.W. Richa—Supported in part by the NSF under Awards CCF-1353089 and CCF-1422603.
Funding Information:
R. Gmyr, T. Strothmann and C. Scheideler—Supported in part by DFG grant SCHE 1592/3-1.
Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - In this paper 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 model for such self-organizing particle systems, we will use a generalization of the geometric amoebot model first proposed in [21]. Based on the geometric model, we present efficient localcontrol 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.
AB - In this paper 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 model for such self-organizing particle systems, we will use a generalization of the geometric amoebot model first proposed in [21]. Based on the geometric model, we present efficient localcontrol 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.
UR - http://www.scopus.com/inward/record.url?scp=84951194753&partnerID=8YFLogxK
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U2 - 10.1007/978-3-319-21999-8_8
DO - 10.1007/978-3-319-21999-8_8
M3 - Conference contribution
AN - SCOPUS:84951194753
SN - 9783319219981
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 117
EP - 132
BT - DNA Computing and Molecular Programming - 21st International Conference, DNA, Proceedings
A2 - Yin, Peng
A2 - Phillips, Andrew
PB - Springer Verlag
T2 - 21st International Conference on DNA Computing and Molecular Programming, 2015
Y2 - 17 August 2015 through 21 August 2015
ER -