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A delay reduction scheme based on network coding for voice traffic in large-scale wireless sensor networks

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dc.contributor.authorJoe, Inwhee-
dc.contributor.authorKim, Kyunghwan-
dc.date.accessioned2022-07-16T19:05:38Z-
dc.date.available2022-07-16T19:05:38Z-
dc.date.created2021-05-13-
dc.date.issued2011-09-
dc.identifier.issn0302-9743-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/167624-
dc.description.abstractRecently, wireless sensor networks have been researched as core technologies for ubiquitous computing. In wireless sensor networks, a sensor node has typically small amount of memory, a processor with low computing power, and wireless interface of low bandwidth. Many sensor nodes should be placed to gather information in a large area because of small sensing range of the sensor nodes and limitation of wireless communications. In this paper, the cluster structure is used to organize large-scale sensor networks. Here, we propose a delay reduction scheme based on network coding for voice traffic by coping with the congestion problem in large-scale sensor networks. Finally, the simulation results show that the proposed scheme can reduce the transmission delay significantly.-
dc.language영어-
dc.language.isoen-
dc.publisherSpringer Verlag-
dc.titleA delay reduction scheme based on network coding for voice traffic in large-scale wireless sensor networks-
dc.typeArticle-
dc.contributor.affiliatedAuthorJoe, Inwhee-
dc.identifier.doi10.1007/978-3-642-24082-9_41-
dc.identifier.scopusid2-s2.0-80054054744-
dc.identifier.bibliographicCitationLecture Notes in Computer Science, v.6935 LNCS, pp.331 - 343-
dc.relation.isPartOfLecture Notes in Computer Science-
dc.citation.titleLecture Notes in Computer Science-
dc.citation.volume6935 LNCS-
dc.citation.startPage331-
dc.citation.endPage343-
dc.type.rimsART-
dc.type.docTypeConference Paper-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusCluster-
dc.subject.keywordPlusCongestion problem-
dc.subject.keywordPlusDelay reduction-
dc.subject.keywordPlusLarge Scale-
dc.subject.keywordPlusWireless sensor-
dc.subject.keywordPlusComputer simulation-
dc.subject.keywordPlusInformation technology-
dc.subject.keywordPlusInformation theory-
dc.subject.keywordPlusSensor nodes-
dc.subject.keywordPlusSensors-
dc.subject.keywordPlusTelecommunication equipment-
dc.subject.keywordPlusTraffic congestion-
dc.subject.keywordPlusUbiquitous computing-
dc.subject.keywordPlusWireless networks-
dc.subject.keywordPlusWireless telecommunication systems-
dc.subject.keywordPlusNetwork coding-
dc.subject.keywordAuthorCluster-
dc.subject.keywordAuthorCongestion Problem-
dc.subject.keywordAuthorDelay Reduction-
dc.subject.keywordAuthorLarge Scale-
dc.subject.keywordAuthorNetwork Coding-
dc.subject.keywordAuthorWireless Sensor Networks-
dc.identifier.urlhttps://link.springer.com/chapter/10.1007/978-3-642-24082-9_41-
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