Decentralized multi-agent clustering in scale-free sensor networks

Mahendra Piraveenan*, Mikhail Prokopenko, Peter Wang, Astrid Zeman

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

6 Citations (Scopus)

Abstract

Many interaction processes in complex adaptive systems occur in groups, and in order to organize knowledge, collaboration and a proper distribution of functions and tasks, there is a need to analyze, model and develop computational systems in which several autonomous units interact, adapt and work together in a common open environment, combining individual strategies into overall behavior. The approach to engineering a desired system-level behavior, adopted in this work, is based on a multi-agent system [11], in which the preferred responses emerge as a result of inter-agent interactions.

Original languageEnglish
Title of host publicationComputational Intelligence: A Compendium
EditorsJohn Fulcher, Lakhmi C. Jain
Place of PublicationBerlin
PublisherSpringer, Springer Nature
Pages485-515
Number of pages31
Volume115
ISBN (Print)9783540782926
DOIs
Publication statusPublished - 2008
Externally publishedYes

Publication series

NameStudies in Computational Intelligence
Volume115
ISSN (Print)1860949X

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  • Cite this

    Piraveenan, M., Prokopenko, M., Wang, P., & Zeman, A. (2008). Decentralized multi-agent clustering in scale-free sensor networks. In J. Fulcher, & L. C. Jain (Eds.), Computational Intelligence: A Compendium (Vol. 115, pp. 485-515). (Studies in Computational Intelligence; Vol. 115). Berlin: Springer, Springer Nature. https://doi.org/10.1007/978-3-540-78293-3_12