Name
Title | ||
|---|---|---|
Machine-Learning-Based Efficient and Secure RSU Placement Mechanism for Software-Defined-IoV |
Abstract | ||
|---|---|---|
The massive increase in computing and network capabilities has resulted in a paradigm shift from vehicular networks to the Internet of Vehicles (IoV). Owing to the dynamic and heterogeneous nature of IoV, it requires efficient resource management using smart technologies, such as software-defined network (SDN), machine learning (ML), and so on. Roadside units (RSUs) in software-defined-IoV (SD-IoV... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/JIOT.2021.3069642 | IEEE Internet of Things Journal |
Keywords | DocType | Volume |
Delays,Roads,Software,Internet of Things,Electronic mail,Machine learning,Vehicle dynamics | Journal | 8 |
Issue | ISSN | Citations |
18 | 2327-4662 | 5 |
PageRank | References | Authors |
0.47 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sudha Anbalagan | 1 | 33 | 4.94 |
| Ali Kashif Bashir | 2 | 195 | 42.51 |
| Gunasekaran Raja | 3 | 60 | 7.68 |
| Priyanka Dhanasekaran | 4 | 8 | 1.18 |
| Geetha Vijayaraghavan | 5 | 11 | 1.22 |
| Usman Tariq | 6 | 141 | 18.70 |
| Mohsen Guizani | 7 | 6456 | 557.44 |