Time-Sensitive Service Scheduling Method for LEO Broadband Satellite-Based Power Emergency Networks

INTRODUCTION: The frequent occurrence of extreme natural disasters poses severe threats to power grids, necessitating robust emergency communication. Low Earth Orbit (LEO) broadband satellite networks offer a promising solution but suffer from high dynamics and bit error rates, leading to jitter and disorder in time-sensitive services. OBJECTIVES: To address these challenges, this paper proposes a time-sensitive service scheduling method for LEO satellites in power emergency networks. The primary goal is to facilitate a transition from "traffic-driven" to "service-driven" paradigms, ensuring the prioritized and orderly delivery of critical control instructions. METHODS: An improved QUIC scheduling framework is introduced, incorporating the Acknowledgment Fast Return and Distinguish Loss (AFR-DL) mechanism to optimize congestion control. Furthermore, the Multiplex Data Arrive In Order (MDAIO) algorithm is proposed, which combines throughput prediction with dynamic error correction and service priority strategies to manage multipath transmission. RESULTS: Simulation results demonstrate that the AFR-DL algorithm improves throughput compared to OLIA, while the MDAIO algorithm significantly outperforms traditional schedulers like Lowest-RTT and DPSAF. The proposed method effectively reduces data disorder and transmission delay for high-priority services. CONCLUSION: The proposed method significantly enhances throughput and reliability, effectively meeting the high real-time requirements of power emergency communication. This work provides a viable solution for guaranteeing the stability of time-sensitive services in harsh LEO satellite environments.