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Network Activation Control According to Traffic Characteristics in Sensor Networks for IoT

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dc.contributor.authorKim, Dae-Young-
dc.contributor.authorJeong, Young-Sik-
dc.contributor.authorKim, Seokhoon-
dc.date.accessioned2024-08-08T04:00:35Z-
dc.date.available2024-08-08T04:00:35Z-
dc.date.issued2017-
dc.identifier.issn1876-1100-
dc.identifier.issn1876-1119-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/17280-
dc.description.abstractSensor networks are an important technology for Internet of Things (IoT) connectivity. Sensor networks consists of numerous objects and the objects named sensor nodes collect information in access networks of IoT. They are transmitted the information to a network server which is placed in Cloud. In the sensor field (i.e., the access network of IoT), there are three kinds of traffic can be generated: event-driven, query-driven and periodic traffic. The traffic is classified and analyzed at the network server. The most of monitoring applications for IoT employs cluster-based network architecture. Each cluster gathers local sensing data and traffic characteristic of clusters is determined by the collected local data. This paper proposes network activation control of the clusters according to the traffic characteristic in order to minimize power consumption of sensor networks.-
dc.format.extent5-
dc.language영어-
dc.language.isoENG-
dc.publisherSPRINGER-VERLAG SINGAPORE PTE LTD-
dc.titleNetwork Activation Control According to Traffic Characteristics in Sensor Networks for IoT-
dc.typeArticle-
dc.publisher.location싱가폴-
dc.identifier.doi10.1007/978-981-10-3023-9_57-
dc.identifier.scopusid2-s2.0-85007303470-
dc.identifier.wosid000401115300057-
dc.identifier.bibliographicCitationADVANCES IN COMPUTER SCIENCE AND UBIQUITOUS COMPUTING, v.421, pp 371 - 375-
dc.citation.titleADVANCES IN COMPUTER SCIENCE AND UBIQUITOUS COMPUTING-
dc.citation.volume421-
dc.citation.startPage371-
dc.citation.endPage375-
dc.type.docTypeProceedings Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.subject.keywordPlusINTERNET-
dc.subject.keywordPlusTHINGS-
dc.subject.keywordAuthorSensor network-
dc.subject.keywordAuthorNetwork activation control-
dc.subject.keywordAuthorTraffic characteristic-
dc.subject.keywordAuthorInternet of Things-
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