Abstract
The emergence of Low Earth Orbit (LEO) satellite environments has spurred active research into edge computing techniques utilizing these satellites. However, these efforts encounter significant challenges due to the physical battery limitations of the satellites. To address these issues, this paper introduces a novel edge computing technique that takes real-time battery conditions into account.
| 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 | 1818-1819 |
| 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
- battery state
- edge computing
- LEO satellites
- lyapunov optimization
- multi-hop code offloading