Congestion Detection Strategies in Wireless Sensor Networks: A Comparative Study with Testbed Experiments

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dc.citation.epage175fr_FR
dc.citation.spage168fr_FR
dc.citation.volume37fr_FR
dc.contributor.authorKafi, Mohamed Amine
dc.contributor.authorDjenouri, Djamel
dc.contributor.authorBen Othman, Jalel
dc.contributor.authorOuadjaout, Abdelraouf
dc.contributor.authorBadache, Nadjib
dc.date.accessioned2014-11-30T14:50:43Z
dc.date.available2014-11-30T14:50:43Z
dc.date.issued2014
dc.description.abstractEvent based applications of Wireless Sensor Networks (WSNs) are prone to traffic congestion, where unpredicted event detection yields simultaneous generation of traffic at spatially co-related nodes, and its propagation towards the sink. This results in loss of information and waste energy. Early congestion detection is thus of high importance in such WSN applications to avoid the propagation of such a problem and to reduce its consequences. Different detection metrics are used in the congestion control literature. However, a comparative study that investigates the different metrics in real sensor motes environment is missing. This paper focuses on this issue and compares some detection metrics in a testbed network with MICAz motes. Results show the effectiveness of each method in different scenarios and concludes that the combination of buffer length and channel load constitute the better candidate for early and fictive detection.fr_FR
dc.identifier.doi10.1016/j.procs.2014.08.026
dc.identifier.urihttp://dl.cerist.dz/handle/CERIST/697
dc.publisherElsevierfr_FR
dc.relation.ispartofThe 5th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN-2014)fr_FR
dc.relation.placeHalifax, Nova Scotia, Canadafr_FR
dc.rights.holderElsevier B.V.fr_FR
dc.structureRéseaux Large Bande et Réseaux Sans Filfr_FR
dc.subjectWireless sensor networksfr_FR
dc.subjectTtransport protocolsfr_FR
dc.subjectCongestion controlfr_FR
dc.subjectCongestion Detectionfr_FR
dc.titleCongestion Detection Strategies in Wireless Sensor Networks: A Comparative Study with Testbed Experimentsfr_FR
dc.typeConference paper
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