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dc.contributor.authorAntoniou, Pavlos Ch.en
dc.contributor.authorPitsillides, Andreasen
dc.contributor.authorEngelbrecht, A.en
dc.contributor.authorBlackwell, T.en
dc.contributor.authorMichael, Loizosen
dc.creatorAntoniou, Pavlosen
dc.creatorPitsillides, Andreasen
dc.creatorEngelbrecht, A.en
dc.creatorBlackwell, T.en
dc.creatorMichael, Loizosen
dc.description.abstractRecently, performance controlled wireless sensor networks have attracted significant interest with the emergence of mission-critical applications (e.g. health monitoring). Performance control can be carried out by robust congestion control approaches that aim to keep the network operational under varying network conditions. In this study, swarm intelligence is successfully employed to combat congestion by mimicking the collective behavior of bird flocks, having the emerging global behavior of minimum congestion and routing of information flow to the sink, achieved collectively without explicitly programming them into individual nodes. This approach is simple to implement at the individual node, while its emergent collective behavior contributes to the common objectives. Performance evaluations reveal the energy efficiency of the proposed flock-based congestion control (Flock-CC) approach. Also, recent studies showed that Flock-CC is robust and self-adaptable, involving minimal information exchange and computational burden. © 2009 Springer-Verlag.en
dc.source4th IFIP TC 6 International Workshop on Self-Organizing Systems, IWSOS 2009en
dc.subjectArtificial intelligenceen
dc.subjectWireless telecommunication systemsen
dc.subjectSensor networksen
dc.subjectSensor nodesen
dc.subjectWireless sensor networksen
dc.subjectMission critical applicationsen
dc.subjectThermal conductivityen
dc.subjectInformation flowsen
dc.subjectCongestion Controlen
dc.subjectCongestion control (CC)en
dc.subjectHealth monitoringen
dc.subjectPerformance evaluationen
dc.subjectWireless sensor networks (WSNs)en
dc.subjectBird flocksen
dc.subjectCollective behavioren
dc.subjectMinimal informationen
dc.subjectWireless sensor network (WSNs)en
dc.subjectComputational burdenen
dc.subjectCellular automataen
dc.subjectGlobal behaviorsen
dc.subjectNetwork conditionen
dc.subjectPerformance controlen
dc.subjectSwarm Intelligenceen
dc.subjectEnergy efficiencyen
dc.titleCongestion control in wireless sensor networks based on the bird flocking behavioren
dc.description.volume5918 LNCSen
dc.description.endingpage225 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied SciencesΤμήμα Πληροφορικής / Department of Computer Science
dc.description.notes<p>Sponsors: ETH Zurichen
dc.description.notesIFIP TC 6en
dc.description.notesConference code: 78930en
dc.description.notesCited By :5</p>en
dc.source.abbreviationLect. Notes Comput. Sci.en
dc.contributor.orcidPitsillides, Andreas [0000-0001-5072-2851]

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