Abstract
As autonomous driving technology becomes more sophisticated, VEC is in the limelight. However, it faces limitations in network conditions or the existence of RSU. In this paper, we propose a Lyapunov optimization-based algorithm that jointly optimizes both offloading policy and computing resources to minimize energy consumption while maintaining finite service time with the help of V2V and V2I communication.
| Original language | English |
|---|---|
| Title of host publication | ICTC 2024 - 15th International Conference on ICT Convergence |
| Subtitle of host publication | AI-Empowered Digital Innovation |
| Publisher | IEEE Computer Society |
| Pages | 609-610 |
| Number of pages | 2 |
| ISBN (Electronic) | 9798350364637 |
| DOIs | |
| State | Published - 2024 |
| Event | 15th International Conference on Information and Communication Technology Convergence, ICTC 2024 - Jeju Island, Korea, Republic of Duration: 16 Oct 2024 → 18 Oct 2024 |
Publication series
| Name | International Conference on ICT Convergence |
|---|---|
| ISSN (Print) | 2162-1233 |
| ISSN (Electronic) | 2162-1241 |
Conference
| Conference | 15th International Conference on Information and Communication Technology Convergence, ICTC 2024 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Jeju Island |
| Period | 16/10/24 → 18/10/24 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
Keywords
- Lyapunov optimization
- task offloading
