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Analysis of Biologically Inspired Swarm Communication Models

  • 2018
  • OriginalPaper
  • Chapter
Published in:
Authors
Musad Haque
Electa Baker
Christopher Ren
Douglas Kirkpatrick
Julie A. Adams
Published in
Advances in Hybridization of Intelligent Methods
Publisher
Springer International Publishing

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Abstract

The biological swarm literature presents communication models that attempt to capture the nature of interactions among the swarm’s individuals. The reported research derived algorithms based on the metric, topological, and visual biological swarm communication models. The evaluated hypothesis is that the choice of a biologically inspired communication model can affect the swarm’s performance for a given task. The communication models were evaluated in the context of two swarm robotics tasks: search for a goal and avoid an adversary. The general findings demonstrate that the swarm agents had the best overall performance when using the visual model for the search for a goal task and performed the best for the avoid an adversary task when using the topological model. Further analysis of the performance metrics by the various experimental parameters provided insights into specific situations in which the models will be the most or least beneficial. The importance of the reported research is that the task performance of a swarm can be amplified through the deliberate selection of a communications model.

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Title
Analysis of Biologically Inspired Swarm Communication Models
Authors
Musad Haque
Electa Baker
Christopher Ren
Douglas Kirkpatrick
Julie A. Adams
Copyright Year
2018
Book
Advances in Hybridization of Intelligent Methods

Print ISBN: 978-3-319-66789-8

Electronic ISBN: 978-3-319-66790-4

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-66790-4_2
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