Name
Title | ||
|---|---|---|
On Removing Routing Protocol from Future Wireless Networks: A Real-time Deep Learning Approach for Intelligent Traffic Control. |
Abstract | ||
|---|---|---|
Recently, deep learning has appeared as a breakthrough machine learning technique for various areas in computer science as well as other disciplines. However, the application of deep learning for network traffic control in wireless/heterogeneous networks is a relatively new area. With the evolution of wireless networks, efficient network traffic control such as routing methodology in the wireless ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/MWC.2017.1700244 | IEEE Wireless Communications |
Keywords | Field | DocType |
Machine learning,Routing protocols,Traffic control,Feature extraction,Telecommunication traffic,Proposals | Hazy Sighted Link State Routing Protocol,Wireless network,Link-state routing protocol,Dynamic Source Routing,Computer science,Hierarchical routing,Static routing,Computer network,Wireless Routing Protocol,Distributed computing,Routing protocol | Journal |
Volume | Issue | ISSN |
25 | 1 | 1536-1284 |
Citations | PageRank | References |
17 | 0.76 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fengxiao Tang | 1 | 253 | 11.24 |
| Bomin Mao | 2 | 265 | 13.95 |
| Zubair Md. Fadlullah | 3 | 756 | 45.47 |
| Nei Kato | 4 | 3982 | 263.66 |
| Osamu Akashi | 5 | 219 | 23.80 |
| Takeru Inoue | 6 | 176 | 19.11 |
| Kimihiro Mizutani | 7 | 135 | 10.73 |