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Open Access

Space-based self-organizing real-time wireless networks for satellite cluster

Lei YANG( )Huaguo YANGZhenglong YINQuan CHEN
College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China

Peer review under responsibility of Editorial Committee of CJA

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Abstract

The information exchange among satellites is crucial for the implementation of cluster satellite cooperative missions. However, achieving fast perception, rapid networking, and high-precision time synchronization among nodes without the support of the Global Navigation Satellite System (GNSS) and other prior information remains a formidable challenge to real-time wireless networks design. Therefore, a self-organizing network methodology based on multi-agent negotiation is proposed, which autonomously determines the master node through collaborative negotiation and competitive elections. On this basis, a real-time network protocol design is carried out and a high-precision time synchronization method with motion compensation is proposed. Simulation results demonstrate that the proposed method enables rapid networking with the capability of self-discovery, self-organization, and self-healing. For a cluster of 8 satellites, the networking time and the reorganization time are less than 4 s. The time synchronization accuracy exceeds 10−10s with motion compensation, demonstrating excellent real-time performance and stability. The research presented in this paper provides a valuable reference for the design and application of space-based self-organizing networks for satellite cluster.

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Chinese Journal of Aeronautics

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Cite this article:
YANG L, YANG H, YIN Z, et al. Space-based self-organizing real-time wireless networks for satellite cluster. Chinese Journal of Aeronautics, 2025, 38(8). https://doi.org/10.1016/j.cja.2024.103381

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Received: 24 June 2024
Revised: 21 July 2024
Accepted: 25 October 2024
Published: 30 December 2024
© 2024 The Author(s). Chinese Society of Aeronautics and Astronautics.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).