Dynamic Management Topology Construction, Evolution, and Maintenance of Low Earth Orbit Mega-Constellation
As the constellation scale expands, the traditional constellation management mode imposes a substantial burden on ground stations. In order to construct a high-efficiency management mode for the low earth orbit (LEO) mega-constellation and to respond to the mission rapidly, a management strategy usi...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
American Association for the Advancement of Science (AAAS)
2025-01-01
|
| Series: | Space: Science & Technology |
| Online Access: | https://spj.science.org/doi/10.34133/space.0248 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | As the constellation scale expands, the traditional constellation management mode imposes a substantial burden on ground stations. In order to construct a high-efficiency management mode for the low earth orbit (LEO) mega-constellation and to respond to the mission rapidly, a management strategy using distributed management domains as well as their dynamic evolution and maintenance methodology is proposed. In this paper, the distributed management domain is described as a variable topology consisting of groups of categorized satellites. The mega-constellation management topology is divided into a limited number of sub-topologies, determined by minimizing the average transmission latency and the frequency of management updates. Considering the dynamic of constellation, a method for predicting satellite management switching time is proposed, and a fast management maintenance strategy is designed to reassign satellites into new sub-topologies, ensuring a low overall update frequency of the management domain structure. Simulation validates that the management strategy divides the mega-constellation into dozens of management sub-topologies with similar structure and low-frequency management updates. Throughout the management period, each satellite remains under management with low transmission latency, and the overall management topology maintains long-term stability. |
|---|---|
| ISSN: | 2692-7659 |