Space-based self-organizing real-time wireless networks
• Determines the master node through collaborative negotiation and competitive elections autonomously. • Carry out a self-organizing real-time network protocol design. • Propose a time synchronization method with motion compensation. 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 −10 s 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.
Authors
- Lei Yang (ORCID: https://orcid.org/0000-0002-8732-3675)
- Heng Yang (ORCID: https://orcid.org/0000-0001-8078-3401)
- Quan Chen (ORCID: https://orcid.org/0000-0001-5174-8762)
- Zhenglong YIN
Institutions
- National University of Defense Technology (CN)
Publication Details
- Journal
- Chinese Journal of Aeronautics
- Published
- 2024-12-30
- DOI
- https://doi.org/10.1016/j.cja.2024.103381
- Citations
- 1
- Primary Topic
- Satellite Communication Systems
- Type
- article
- Field-Weighted Citation Impact
- 1.30