Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/105679
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Computing | - |
dc.creator | He, Z | en_US |
dc.creator | Zhang, D | en_US |
dc.creator | Zhu, S | en_US |
dc.creator | Cao, J | en_US |
dc.creator | Liu, X | en_US |
dc.date.accessioned | 2024-04-15T07:35:51Z | - |
dc.date.available | 2024-04-15T07:35:51Z | - |
dc.identifier.isbn | 978-1-5090-1701-0 (Electronic) | en_US |
dc.identifier.isbn | 978-1-5090-1702-7 (Print on Demand(PoD)) | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/105679 | - |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | ©2016 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 Z. He, D. Zhang, S. Zhu, J. Cao and X. Liu, "SDN Enabled High Performance Multicast in Vehicular Networks," 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall), Montreal, QC, Canada, 2016, pp. 1-5 is available at https://doi.org/10.1109/VTCFall.2016.7881215. | en_US |
dc.subject | Multicast | en_US |
dc.subject | SDN | en_US |
dc.subject | VANET | en_US |
dc.subject | Vehicular network | en_US |
dc.title | SDN enabled high performance multicast in vehicular networks | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.doi | 10.1109/VTCFall.2016.7881215 | en_US |
dcterms.abstract | A software-defined network empowers the creation of a flexible network architecture by abstracting flow control from individual devices to the network level. In this paper, we address the challenges in applying SDN to develop high- performance vehicular networks. We present SDVN, a new SDN based vehicular network architecture. It organizes the topology of the vehicular networks and utilizes vehicle trajectory prediction to mitigate the overhead of the SDN control and data plane communication. Moreover, we propose a multicast protocol over SDVN, as multicast is the foundation of many vehicular network applications. The protocol exploits the network topology information provided by SDVN to make far more efficient multicast scheduling decision. The multicast scheduling problem is formulated to minimize the communication cost with bounded delay constraint. A polynomial time approximation algorithm is proposed. We conduct extensive experiments using traffic traces. The evaluation shows that the SDVN based multicast protocol outperforms existing decentralized approaches. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall), Montréal, Canada, 18-21 September 2016, 7881215 | en_US |
dcterms.issued | 2016 | - |
dc.identifier.scopus | 2-s2.0-85016933577 | - |
dc.relation.conference | IEEE Conference on Vehicular Technology [VTC] | - |
dc.identifier.artn | 7881215 | en_US |
dc.description.validate | 202402 bcch | - |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | COMP-1291 | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | National Science Foundation of China; Fok Ying-Tong Education Foundation, China; Fundamental Research Funds for the Central Universities; Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 9592821 | - |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Conference Paper |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Cao_Sdn_Enabled_High.pdf | Pre-Published version | 948.74 kB | Adobe PDF | View/Open |
Page views
10
Citations as of May 12, 2024
Downloads
1
Citations as of May 12, 2024
SCOPUSTM
Citations
13
Citations as of May 17, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.