Name
Abstract | ||
|---|---|---|
The growing developments in vehicular networks and vehicular Internet services have yielded a variety of computation-intensive applications, resulting in great pressure on vehicles equipped with limited computation resources. The cloud/ edge-based service, which enables in-motion vehicles to actively offload computation tasks to cloud/ edge servers, has provided a promising approach to address the... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/MNET.2018.1700320 | IEEE Network |
Keywords | Field | DocType |
Task analysis,Physical layer,Eavesdropping,Network security,Servers,Resource management,Cloud computing,Vehicular ad hoc networks,Intelligent vehicles | Resource management,Eavesdropping,Computer science,Server,Computer network,Computation offloading,Provisioning,Vehicular ad hoc network,Computation,Cloud computing,Distributed computing | Journal |
Volume | Issue | ISSN |
32 | 3 | 0890-8044 |
Citations | PageRank | References |
5 | 0.43 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuan Wu | 1 | 538 | 61.11 |
| Li Ping Qian | 2 | 529 | 49.54 |
| Haowei Mao | 3 | 16 | 1.61 |
| xiaowei yang | 4 | 1950 | 111.09 |
| Zhou, H. | 5 | 166 | 14.18 |
| Xiaoqi Tan | 6 | 91 | 14.79 |
| Danny H. K. Tsang | 7 | 945 | 95.24 |