Data Uploading in Hybrid V2V/V2I Vehicular Networks: Modeling and Cooperative Strategy
Supporting data dissemination in vehicular networks is difficult due to high mobility of vehicle traffic, limited communication resources, and dynamic communication requirements. In this paper, the authors investigate data dissemination in hybrid vehicular networks, where messages generated at vehicles should be uploaded to the roadside unit (RSU) assisted by vehicle-to-vehicle (V2V) communications, using vehicles traveling in both directions as relays. The objective is to optimize the resource utilization and reduce the data delivery delay. The authors first analyze the data uploading capacity and delivery delay in hybrid vehicular networks with the store-carry-and-forward mechanism. Applying the analytical results and given the traffic and data information, a distributed multisource scheduling algorithm is proposed. Extensive simulations are conducted to verify the correctness of the analysis. It shows that the proposed algorithm significantly improves the data dissemination efficiency compared with the existing solutions.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00189545
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Supplemental Notes:
- Copyright © 2018, IEEE.
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Authors:
- Ni, Yuanzhi
- He, Jianping
- Cai, Lin
- Bo, Yuming
- Publication Date: 2018-5
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 4602-4614
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Serial:
- IEEE Transactions on Vehicular Technology
- Volume: 67
- Issue Number: 5
- Publisher: Institute of Electrical and Electronics Engineers (IEEE)
- ISSN: 0018-9545
- Serial URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=25
Subject/Index Terms
- TRT Terms: Data communications; Delays; Vehicle to infrastructure communications; Vehicle to vehicle communications; Vehicular ad hoc networks
- Subject Areas: Data and Information Technology; Highways;
Filing Info
- Accession Number: 01674280
- Record Type: Publication
- Files: TRIS
- Created Date: Jun 29 2018 5:11PM