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dc.contributor.authorAntoniou, Pavlos Ch.en
dc.contributor.authorPitsillides, Andreasen
dc.creatorAntoniou, Pavlosen
dc.creatorPitsillides, Andreasen
dc.date.accessioned2019-11-13T10:38:19Z
dc.date.available2019-11-13T10:38:19Z
dc.date.issued2011
dc.identifier.isbn978-1-61350-092-7
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/53561
dc.description.abstractNext generation communication networks are moving towards autonomous wireless infrastructures, as for example, Wireless Sensor Networks (WSNs) that are capable of working unattended under dynamically changing conditions. Over the last few years, WSNs are being developed towards a large number of multimedia streaming applications, e.g., video surveillance, traffic control systems, health monitoring, and industrial process control. However, 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 link capacity fluctuations and topology modifications (e.g. due to node failures) may lead to congestion. Congestion can cause deterioration of the offered quality of service (QoS). This study proposes a bio-inspired congestion control approach for WSNs streaming applications that necessitate controlled performance with graceful degradation. The proposed approach prevents congestion by regulating the rate of each traffic flow based on the Lotka-Volterra competition model. Performance evaluations reveal that the proposed approach achieves adaptability to changing traffic loads, scalability and fairness among flows, while providing graceful performance degradation as the offered load increases. © 2012, IGI Global.en
dc.publisherIGI Globalen
dc.sourceBiologically Inspired Networking and Sensing: Algorithms and Architecturesen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84899344158&doi=10.4018%2f978-1-61350-092-7.ch009&partnerID=40&md5=15de9ba86f40c434b71ed587742f7434
dc.titleCongestion control in wireless sensor networks based on the Lotka Volterra competition modelen
dc.typeinfo:eu-repo/semantics/bookChapter
dc.description.startingpage158
dc.description.endingpage181
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeBook Chapteren
dc.description.notes<p>Cited By :2</p>en
dc.contributor.orcidPitsillides, Andreas [0000-0001-5072-2851]


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