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A New Double-Layer Decentralized Consistency Algorithm for the Multi-Satellite Autonomous Mission Allocation Based on

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Area of Science:

  • Spacecraft Systems Engineering
  • Distributed Systems and Networks
  • Cybersecurity in Space

Background:

  • Traditional on-board mission negotiation architectures suffer from poor security and reliability, risking system collapse due to master node attacks.
  • Decentralized consistency algorithms from the internet domain offer potential solutions for enhancing satellite network robustness.

Purpose of the Study:

  • To develop a secure and reliable decentralized mission negotiation architecture for multi-satellite systems.
  • To propose and evaluate a novel double-layer decentralized consistency algorithm, DDPOS, for satellite clusters.

Main Methods:

  • Modification and adaptation of four internet-based consistency algorithms (RAFT, PBFT, RIPPLE, DPOS) for multi-satellite autonomous mission negotiation.
  • Development of a novel double-layer decentralized consistency algorithm named DDPOS, integrating advantages of the selected algorithms.

Main Results:

  • The DDPOS algorithm significantly enhances security and reliability in satellite clusters while reducing computational and communication resource demands.
  • In malicious node attack scenarios, DDPOS demonstrated a 67% decrease in total computation and a 75% decrease in total bandwidth occupation compared to RAFT.
  • DDPOS exhibits a minimal increase in code size (approximately 8%) compared to the RAFT algorithm, despite its increased complexity.

Conclusions:

  • The DDPOS algorithm offers a flexible and advantageous solution for on-board mission negotiation, improving system resilience and resource efficiency.
  • Simulation experiments validate the effectiveness and feasibility of the DDPOS algorithm for practical on-board satellite applications.