上海航天（中英文）2025，Vol.42Issue(5)：33-42,10.DOI:10.19328/j.cnki.2096-8655.2025.05.004
低轨物联网卫星智能数传决策优化
Optimization of Intelligent Data Transmission Strategy for Low-Earth-orbit IoT Satellite Constellations
摘要
Abstract
Downlink data transmission for low-Earth-orbit(LEO)Internet of Things(IoT)satellites is a scarce resource due to severe constraints such as short visibility windows,limited on-board energy,and strict thermal control.Traditional static transmission strategies often fail to adapt to the real-time state changes of satellites,leading to low efficiency and potential safety hazards.In this paper,a data-driven method for intelligent on-board discrimination of transmission opportunities is proposed to address this challenge.Based on three years of real telemetry data from an operational satellite,the dynamic characteristics of bus power and payload temperature during transmission cycles are analyzed.The transmission opportunities are divided into four distinct modes:optimal,sub-optimal,high-load,and high-risk,revealing the intrinsic correlation between different operational modes and transmission efficiency and safety.On this basis,a lightweight on-board real-time discrimination algorithm(ORDA)is designed.The algorithm utilizes the telemetry data immediately preceding a transmission task to rapidly assess the current state's suitability by calculating a comprehensive"transmission suitability score"(TSS).The validation using historical data demonstrates that the ORDA achieves a discrimination accuracy of 95.26%,performing exceptionally well in identifying the"optimal"and"high-risk"modes,which effectively prevents the critical categorization errors.This research provides an effective solution for the intelligent transmission decision-making under resource constraints in LEO satellites,holding significant engineering value for enhancing on-orbit operational efficiency and mission reliability.关键词
低轨(LEO)星座/物联网(IoT)/数据传输/功率-温度分析/模式识别Key words
low-Earth-orbit(LEO)constellation/internet of things(IoT)/data transmission/power-temperature analysis/pattern recognition分类
航空航天引用本文复制引用
李帅,邢若粼,孙其博..低轨物联网卫星智能数传决策优化[J].上海航天（中英文）,2025,42(5):33-42,10.基金项目
重庆市自然科学基金资助项目(CSTB2023NSCQ-LMX0020) （CSTB2023NSCQ-LMX0020）
