A Community-Based Construct Method for an Inter-Satellite Communication Network of Satellite Swarm.

Area of Science:

• Space Technology
• Network Science
• Complex Systems

Background:

• Inter-satellite communication networks (ICNS) are crucial for satellite swarms.
• Current methods for constructing ICNS can be improved for dynamic connectivity.

Purpose of the Study:

• To develop a novel algorithm for constructing ICNS from pre-link networks (PLN).
• To introduce a new metric, structural entropy, for evaluating candidate link communities.
• To ensure the dynamic connectivity of the ICNS.

Main Methods:

• Modeling satellite swarms as pre-link networks (PLN).
• Generating combinations of candidates for link communities (CCLC).
• Employing a sampling algorithm and structural entropy to select the optimal CCLC.
• Implementing an improvement method to maintain dynamic network connectivity.

Main Results:

• A new algorithm effectively constructs ICNS by selecting CCLCs based on maximum structural entropy.
• The proposed improvement method ensures the ICNS remains a dynamic connected network.
• Simulations show the method outperforms existing benchmark approaches.

Conclusions:

• The developed method provides an effective approach for building robust ICNS for satellite swarms.
• Structural entropy is a valuable metric for evaluating network structures in this context.
• The improvement method is essential for maintaining dynamic connectivity in ICNS.