Recovery Properties of Distributed Cluster Head Election using Reaction Diffusion
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- @Article{Yamamoto:2011:SwarmIntl,
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author = "Lidia Yamamoto and Daniele Miorandi and
Pierre Collet and Wolfgang Banzhaf",
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title = "Recovery Properties of Distributed Cluster Head
Election using Reaction Diffusion",
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journal = "Swarm Intelligence",
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year = "2011",
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volume = "5",
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number = "3-4",
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pages = "225--255",
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month = dec,
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note = "ANTS 2010 Special Issue, Part 1",
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keywords = "genetic algorithms, genetic programming, chemical
computing, Reaction diffusion, Activator inhibitor,
Pattern formation, Cluster head",
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DOI = "doi:10.1007/s11721-011-0058-8",
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size = "31 pages",
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abstract = "Chemical reaction-diffusion is a basic component of
morphogenesis, and can be used to obtain interesting
and unconventional self-organizing algorithms for
swarms of autonomous agents, using natural or
artificial chemistries. However, the performance of
these algorithms in the face of disruptions has not
been sufficiently studied. In this paper we evaluate
the use of reaction-diffusion for the morphogenetic
engineering of distributed coordination algorithms, in
particular, cluster head election in a distributed
computer system. We consider variants of
reaction-diffusion systems around the
activator-inhibitor model, able to produce spot
patterns. We evaluate the robustness of these models
against the deletion of activator peaks that signal the
location of cluster heads, and the destruction of large
patches of chemicals. Three models are selected for
evaluation: the Gierer-Meinhardt Activator-Inhibitor
model, the Activator-Substrate Depleted model, and the
Gray-Scott model. Our results reveal a trade-off
between these models. The Gierer-Meinhardt model is
more stable, with rare failures, but is slower to
recover from disruptions. The Gray-Scott model is able
to recover more quickly, at the expense of more
frequent failures. The Activator-Substrate model lies
somewhere in the middle.",
- }
Genetic Programming entries for
Lidia Yamamoto
Daniele Miorandi
Pierre Collet
Wolfgang Banzhaf
Citations