Name
Title | ||
|---|---|---|
Ant Colony Optimization Based Dynamic Scheduling Routing Algorithm in Internet of Vehicles |
Abstract | ||
|---|---|---|
I use the average energy consumption and end-to-end delay as reference, virtualize resource features for resource allocation and task scheduling, and ensure QoS service quality through hybrid ant colony optimization algorithm and simulated annealing algorithm. Finally, the simulation results show that the average energy consumption drops by about 0.04J, and the end-to-end delay decreases by about 100ms. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ICCE-TW46550.2019.8991884 | 2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW) |
Keywords | DocType | ISBN |
Internet of Vehicles,resource feature virtualization,dynamic scheduling routing algorithm,end-to-end delay,average energy consumption,simulated annealing algorithm,hybrid ant colony optimization algorithm,QoS service quality,task scheduling,resource allocation | Conference | 978-1-7281-3280-8 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hai-Tao Zhao | 1 | 0 | 0.34 |
| Xuan-Pei Zhu | 2 | 0 | 0.34 |
| Chen He | 3 | 714 | 101.22 |
| Xiang Ren | 4 | 885 | 60.08 |
| Yin-Yang Zhu | 5 | 0 | 0.34 |