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A Particle Swarm Optimization-Based Queue Scheduling and Optimization Mechanism for Large-Scale Low-Earth-Orbit

Ziyong Zhang1, Tao Dong1, Jie Yin1

  • 1State Key Laboratory of Space-Ground Integrated Information Technology, Space Star Technology Co., Ltd., Beijing 100095, China.

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Summary
This summary is machine-generated.

This study optimizes queue scheduling in dynamic low-Earth-orbit satellite networks using Particle Swarm Optimization (PSO-QSO). The method ensures reliable, real-time data transmission for time-sensitive traffic, improving satellite communication services.

Keywords:
large-scale low-Earth-orbit satellite communication networksparticle swarm optimizationqueue scheduling and optimizationtime-sensitive traffic

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Area of Science:

  • Satellite Communication Networks
  • Network Optimization
  • Swarm Intelligence

Background:

  • Large-scale low-Earth-orbit satellite networks exhibit dynamic spatial topology and variable node output port loads.
  • Queue lengths and numbers at network nodes significantly impact packet loss and end-to-end latency for traffic flows.
  • Optimizing queues is crucial for high-quality, deterministic transmission of time-sensitive traffic.

Purpose of the Study:

  • To introduce a novel queue scheduling optimization mechanism (PSO-QSO) for dynamic satellite communication networks.
  • To analyze traffic flow parameters and determine maximum time-sensitive loads within network nodes.
  • To achieve deterministic end-to-end transmission performance for time-sensitive traffic.

Main Methods:

  • Developed a queue scheduling optimization mechanism (PSO-QSO) tailored for low-Earth-orbit satellite networks.
  • Analyzed relevant parameters of various traffic flows within the network.
  • Applied the Particle Swarm Optimization algorithm to determine optimal queue lengths and numbers at each node's output port.

Main Results:

  • The PSO-QSO mechanism effectively analyzes network traffic and node loads.
  • Optimal queue configurations were calculated for forwarding time-sensitive traffic.
  • The proposed mechanism ensures deterministic end-to-end transmission for time-sensitive data.

Conclusions:

  • The PSO-QSO mechanism enhances the performance of large-scale low-Earth-orbit satellite communication networks.
  • It provides reliable, real-time satellite communication services by optimizing queue management.
  • This approach guarantees deterministic transmission crucial for time-sensitive applications.