Name
Abstract | ||
|---|---|---|
Effective file transfer between vehicles is fundamental to many emerging vehicular infotainment applications in the highway Vehicular Ad Hoc Networks (VANETs), such as content distribution and social networking. However, due to fast mobility, the connection between vehicles tends to be short-lived and lossy, which makes intact file transfer extremely challenging. To tackle this problem, we presents a novel Cluster-based File Transfer (CFT) scheme for highway VANETs in this paper. With CFT, when a vehicle requests a file, the transmission capacity between the resource vehicle and the destination vehicle is evaluated. If the requested file can be successfully transferred over the direct Vehicular-to-Vehicular (V2V) connection, the file transfer will be completed by the resource and the destination themselves. Otherwise, a cluster will be formed to help the file transfer. As a fully-distributed scheme that relies on the collaboration of cluster members, CFT does not require any assistance from roadside units or access points. Our experimental results indicate that CFT outperforms the existing file transfer schemes for highway VANETs. |
Year | Venue | Field |
|---|---|---|
2017 | 2017 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC) | Social network,Lossy compression,Computer science,Peer to peer computing,Computer network,File transfer,Wireless ad hoc network |
DocType | ISSN | Citations |
Conference | 1550-3607 | 1 |
PageRank | References | Authors |
0.35 | 13 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Quyuan Luo | 1 | 30 | 5.11 |
| Changle Li | 2 | 51 | 10.16 |
| Qiang Ye | 3 | 138 | 18.73 |
| Tom H. Luan | 4 | 880 | 60.47 |
| Lina Zhu | 5 | 1 | 1.70 |
| Xiaolei Han | 6 | 8 | 2.16 |