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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.creatorAntoniou, Pavlosen
dc.creatorPitsillides, Andreasen
dc.creatorEngelbrecht, A.en
dc.creatorBlackwell, T.en
dc.date.accessioned2019-11-13T10:38:19Z
dc.date.available2019-11-13T10:38:19Z
dc.date.issued2010
dc.identifier.isbn978-1-4244-8132-3
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/53566
dc.description.abstractThis study deals with the problem of congestion in wireless sensor networks (WSNs) and proposes a robust and self-adaptable nature-inspired congestion control approach for realtime event-based applications. WSNs face important limitations in terms of energy, memory and computational power. The uncontrolled use of limited resources in conjunction with the unpredictable nature of WSNs in terms of traffic load injection, wireless channel capacity fluctuations and topology modifications (e.g. due to node failures) may lead to congestion. Inspiration is drawn from the flocking and obstacle avoidance behavior of birds to 'guide' packets bypass obstacles like congestion regions and dead node zones. Recent studies showed that the flock-based congestion control (Flock-CC) approach is robust, self-adaptable and energy-efficient, involving minimal information exchange and computational burden when used in uniform grid topologies. The applicability of the Flock-CC in random topologies is investigated in this paper. Performance evaluations showed that Flock-CC was able to both alleviate congestion and minimize energy tax. Also, Flock-CC demonstrated robustness against failing nodes, and outperformed other congestion-aware routing approaches in terms of packet delivery ratio, end-to-end delay and energy tax. ©2010 IEEE.en
dc.source2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2010en
dc.source2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2010en
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-79952015925&doi=10.1109%2fISABEL.2010.5702785&partnerID=40&md5=cbfa84498d0b9ad478c8371f5c2ad9e9
dc.subjectTaxationen
dc.subjectReal timeen
dc.subjectSensorsen
dc.subjectTopologyen
dc.subjectEnergy efficienten
dc.subjectWireless sensor networksen
dc.subjectWireless channelen
dc.subjectComputational poweren
dc.subjectCongestion Controlen
dc.subjectPerformance evaluationen
dc.subjectTraffic loadsen
dc.subjectMinimal informationen
dc.subjectPacket delivery ratioen
dc.subjectComputational burdenen
dc.subjectCongestion-aware routingen
dc.subjectEnd to end delayen
dc.subjectEnergy taxesen
dc.subjectEvent-based applicationsen
dc.subjectNode failureen
dc.subjectObstacle avoidance behaviorsen
dc.subjectRandom topologyen
dc.subjectUniform gridsen
dc.titleMimicking the bird flocking behavior for controlling congestion in sensor networksen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.identifier.doi10.1109/ISABEL.2010.5702785
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeConference Objecten
dc.description.notes<p>Conference code: 83886en
dc.description.notesCited By :6</p>en
dc.contributor.orcidPitsillides, Andreas [0000-0001-5072-2851]


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