Name
Title | ||
|---|---|---|
VANET-LTE based heterogeneous vehicular clustering for driving assistance and route planning applications. |
Abstract | ||
|---|---|---|
The Internet of vehicles incorporates multiple access networks and technologies to connect vehicles on roads. These vehicles usually require the use of individual long-term evolution (LTE) connections to send/receive data to/from a remote server to make smart decisions regarding route planning and driving. An increasing number of vehicles on the roads may not only overwhelm LTE network usage but also incur added cost. Clustering helps minimize LTE usage, but the high speed of vehicles renders connections unstable and unreliable not only among vehicles but also between vehicles and the LTE network. Moreover, non-cooperative behavior among vehicles within a cluster is a bottleneck in sharing costly data acquired from the Internet. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.comnet.2018.08.018 | Computer Networks |
Keywords | Field | DocType |
Vehicular ad hoc networks,Internet of vehicles,Long-term evolution,Clustering,Cooperative communication | Bottleneck,DIAC,Computer science,Computer network,Exploit,Global Positioning System,Cluster analysis,Access network,Vehicular ad hoc network,The Internet,Distributed computing | Journal |
Volume | ISSN | Citations |
145 | 1389-1286 | 3 |
PageRank | References | Authors |
0.43 | 34 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Iftikhar Ahmad | 1 | 156 | 27.06 |
| Rafidah Md Noor | 2 | 255 | 30.34 |
| Ismail Ahmedy | 3 | 66 | 12.07 |
| Syed Adeel Ali Shah | 4 | 84 | 5.89 |
| Ibrar Yaqoob | 5 | 692 | 30.84 |
| Ejaz Ahmed | 6 | 945 | 52.56 |
| Muhammad Imran | 7 | 296 | 32.69 |