Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/35927
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Electronic and Information Engineeringen_US
dc.creatorQiu, HJFen_US
dc.creatorHo, IWHen_US
dc.creatorTse, CKen_US
dc.creatorXie, Yen_US
dc.date.accessioned2016-04-15T08:36:01Z-
dc.date.available2016-04-15T08:36:01Z-
dc.identifier.issn0018-9545en_US
dc.identifier.urihttp://hdl.handle.net/10397/35927-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rights© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.rights||The following publication H. J. F. Qiu, I. W. -H. Ho, C. K. Tse and Y. Xie, "A Methodology for Studying 802.11p VANET Broadcasting Performance With Practical Vehicle Distribution," in IEEE Transactions on Vehicular Technology, vol. 64, no. 10, pp. 4756-4769, Oct. 2015 is available at https://doi.org/10.1109/TVT.2014.2367037.en_US
dc.subjectBroadcasting performance modelingen_US
dc.subjectIEEE 802.11pen_US
dc.subjectStochastic traffic modelingen_US
dc.subjectVehicular ad hoc network (VANET)en_US
dc.titleA methodology for studying 802.11p VANET broadcasting performance with practical vehicle distributionen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage4756en_US
dc.identifier.epage4769en_US
dc.identifier.volume64en_US
dc.identifier.issue10en_US
dc.identifier.doi10.1109/TVT.2014.2367037en_US
dcterms.abstractIn a vehicular ad hoc network (VANET), the performance of the communication protocol is heavily influenced by the vehicular density dynamics. However, most of the previous works on VANET performance modeling paid little attention to vehicle distribution or simply assumed homogeneous car distribution. It is obvious that vehicles are distributed nonhomogeneously along a road segment due to traffic signals and speed limits at different portions of the road, as well as vehicle interactions that are significant on busy streets. In light of the inadequacy, in this paper, we present an original methodology to study the broadcasting performance of 802.11p VANETs with practical vehicle distribution in urban environments. First, we adopt the empirically verified stochastic traffic models, which incorporate the effect of urban settings (such as traffic lights and vehicle interactions) on car distribution and generate practical vehicular density profiles. Corresponding 802.11p protocol and performance models are then developed. When coupled with the traffic models, they can predict broadcasting efficiency, delay, and throughput performances of 802.11p VANETs based on the knowledge of car density at each location on the road. Extensive simulation is conducted to verify the accuracy of the developed mathematical models with the consideration of vehicle interaction. In general, our results demonstrate the applicability of the proposed methodology on modeling protocol performance in practical signalized road networks and shed insights into the design and development of future communication protocols and networking functions for VANETs.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIEEE transactions on vehicular technology, Oct. 2015, v. 64, no. 10, p. 4756-4769en_US
dcterms.isPartOfIEEE transactions on vehicular technologyen_US
dcterms.issued2015-10-
dc.identifier.isiWOS:000363191100030-
dc.identifier.eissn1939-9359en_US
dc.identifier.rosgroupid2014001271-
dc.description.ros2014-2015 > Academic research: refereed > Publication in refereed journalen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberRGC-B3-1015-
dc.description.fundingSourceRGCen_US
dc.description.pubStatusPublisheden_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
Methodology_Studying.pdfPre-Published version2.35 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

105
Last Week
0
Last month
Citations as of Apr 21, 2024

Downloads

60
Citations as of Apr 21, 2024

SCOPUSTM   
Citations

69
Last Week
1
Last month
Citations as of Apr 19, 2024

WEB OF SCIENCETM
Citations

54
Last Week
0
Last month
Citations as of Apr 18, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.