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Performance analysis of prioritized broadcast service in WAVE/IEEE 802.11p

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dc.contributor.authorZhou, Peng-
dc.contributor.authorLiu, Yanheng-
dc.contributor.authorWang, Jian-
dc.contributor.authorDeng, Weiwen-
dc.contributor.authorOh, Heekuck-
dc.date.accessioned2021-06-22T16:03:00Z-
dc.date.available2021-06-22T16:03:00Z-
dc.date.created2021-01-21-
dc.date.issued2016-10-
dc.identifier.issn1389-1286-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/12609-
dc.description.abstractIn this paper, we propose a more accurate model to capture the prioritized broadcast service in WAVE/IEEE 802.11p and comprehensively analyze the related performance indicators accordingly. We construct a 2-D Markov chain to characterize the IEEE 802.11p EDCA backoff process and subsequently build a 1-D infinite discrete-time Markov chain to identify the contention period for establishing the relation between the transmission probabilities and the channel state. We also consider the impacts of the multichannel operation defined by IEEE 1609.4 in the modeling. Unlike most previous work, we define the transmission probability as a function of the fluctuating numbers of continuous idle slots, introduce a proactive backoff stage into the 2-D Markov chain to profile the backoff procedure where the transmission queue is empty, and characterize the access delay extension and transmission synchronization caused by channel switching. We perform extensive numerical analyses and investigate the access delay, packet delivery rate, and other performance indicators. The results uncover the relations among the metrics of concern underlying various priority access categories as a function of the experienced traffic loads. The effectiveness of the proposed performance model is faithfully verified by the simulation results. (C) 2016 Elsevier B.V. All rights reserved.-
dc.language영어-
dc.language.isoen-
dc.publisherELSEVIER SCIENCE BV-
dc.titlePerformance analysis of prioritized broadcast service in WAVE/IEEE 802.11p-
dc.typeArticle-
dc.contributor.affiliatedAuthorOh, Heekuck-
dc.identifier.doi10.1016/j.comnet.2016.04.011-
dc.identifier.scopusid2-s2.0-84964316477-
dc.identifier.wosid000385326600008-
dc.identifier.bibliographicCitationCOMPUTER NETWORKS, v.107, pp.233 - 245-
dc.relation.isPartOfCOMPUTER NETWORKS-
dc.citation.titleCOMPUTER NETWORKS-
dc.citation.volume107-
dc.citation.startPage233-
dc.citation.endPage245-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaTelecommunications-
dc.relation.journalWebOfScienceCategoryComputer Science, Hardware & Architecture-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryTelecommunications-
dc.subject.keywordPlusEDCA-
dc.subject.keywordAuthorWAVE-
dc.subject.keywordAuthorIEEE 802.11p-
dc.subject.keywordAuthorEDCA-
dc.subject.keywordAuthorPerformance analysis-
dc.subject.keywordAuthorMarkov model-
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S1389128616301104?via%3Dihub-
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