ChainCluster: Engineering a cooperative content distribution framework for highway vehicular communications
Zhou H.1; Liu B.1; Luan T.H.2; Hou F.3; Gui L.1; Li Y.4; Yu Q.5; Shen X.6
2014
Source PublicationIEEE Transactions on Intelligent Transportation Systems
ISSN15249050
Volume15Issue:6Pages:2644
Abstract

The recent advances in wireless communication techniques have made it possible for fast-moving vehicles to download data from the roadside communications infrastructure [e.g., IEEE 802.11b Access Point (AP)], namely, Drive-thru Internet. However, due to the high mobility, harsh, and intermittent wireless channels, the data download volume of individual vehicle per drive-thru is quite limited, as observed in real-world tests. This would severely restrict the service quality of upper layer applications, such as file download and video streaming. On addressing this issue, in this paper, we propose ChainCluster, a cooperative Drive-thru Internet scheme. ChainCluster selects appropriate vehicles to form a linear cluster on the highway. The cluster members then cooperatively download the same content file, with each member retrieving one portion of the file, from the roadside infrastructure. With cluster members consecutively driving through the roadside infrastructure, the download of a single vehicle is virtually extended to that of a tandem of vehicles, which accordingly enhances the probability of successful file download significantly. With a delicate linear cluster formation scheme proposed and applied, in this paper, we first develop an analytical framework to evaluate the data volume that can be downloaded using cooperative drive-thru. Using simulations, we then verify the performance of ChainCluster and show that our analysis can match the simulations well. Finally, we show that ChainCluster can outperform the typical studied clustering schemes and provide general guidance for cooperative content distribution in highway vehicular communications. © 2000-2011 IEEE.

KeywordClustering Cooperative Content Distribution Drive-thru Internet Highways
DOI10.1109/TITS.2014.2321293
URLView the original
Language英语
WOS Research AreaEngineering ; Transportation
WOS SubjectEngineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology
WOS IDWOS:000345572900025
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
The Source to ArticleScopus
Fulltext Access
Citation statistics
Cited Times [WOS]:79   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Affiliation1.Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
2.Information Technology, Deakin University, Burwood, Vic. 3125, Australia
3.Faculty of Science and Technology, University of Macau, Macau 999078, China
4.China Electronic System Engineering Company, Beijing 100039, China
5.Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China, and also with the China Electronic System Engineering Company, Beijing 100039, China
6.Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada
Recommended Citation
GB/T 7714
Zhou H.,Liu B.,Luan T.H.,et al. ChainCluster: Engineering a cooperative content distribution framework for highway vehicular communications[J]. IEEE Transactions on Intelligent Transportation Systems,2014,15(6):2644.
APA Zhou H.,Liu B.,Luan T.H.,Hou F.,Gui L.,Li Y.,Yu Q.,&Shen X..(2014).ChainCluster: Engineering a cooperative content distribution framework for highway vehicular communications.IEEE Transactions on Intelligent Transportation Systems,15(6),2644.
MLA Zhou H.,et al."ChainCluster: Engineering a cooperative content distribution framework for highway vehicular communications".IEEE Transactions on Intelligent Transportation Systems 15.6(2014):2644.
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