Abstract
By developing satellite communication, many devices can expect communication to be faster and wider than before. This paper research how to send and receive content in mesh constellation satellite networks while airplanes and satellites rapidly move around the earth. To achieve this goal, we conducted research with two processes, routing optimization and energy optimization. Communication between satellites, airplanes, and intersatellite was assumed to use THz bandwidth. Each satellite is assumed to have different available power in the Mesh constellation network. In this case, by setting the satellite's available power to the edges, this paper used the Dijkstra algorithm for routing optimization. And order to optimize energy usage, we adopted Reinforcement learning. Consequently, the proposed method is the only way to satisfy a given latency (0.1s) compared to using power randomly and other methods with minimum power while considering energy efficiency.
Original language | English |
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Title of host publication | 37th International Conference on Information Networking, ICOIN 2023 |
Publisher | IEEE Computer Society |
Pages | 764-768 |
Number of pages | 5 |
ISBN (Electronic) | 9781665462686 |
DOIs | |
Publication status | Published - 2023 |
Event | 37th International Conference on Information Networking, ICOIN 2023 - Bangkok, Thailand Duration: 11 Jan 2023 → 14 Jan 2023 |
Publication series
Name | International Conference on Information Networking |
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Volume | 2023-January |
ISSN (Print) | 1976-7684 |
Conference
Conference | 37th International Conference on Information Networking, ICOIN 2023 |
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Country/Territory | Thailand |
City | Bangkok |
Period | 11/01/23 → 14/01/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Keywords
- Energy Optimization
- Intersatellite communication
- LEO satellite
- Route Optimization
- THz Network