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An Efficient Real-time Scheduling and Proactive Data Download Algorithm for Earth Observation Satellites

机译:地球观测卫星有效的实时调度和主动数据下载算法

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It is a meaningful issue on how to download remote sensing data to the ground stations through data relay satellites efficiently. Taking the priority of tasks, the success rate, the utilisation of bandwidth and time window constraints into consideration, this work proposes an efficient real-time scheduling and proactive data download algorithm for the data download task of Earth Observation Satellites. The NP-hard problem of scheduling between multi satellites with lots of tasks is transformed into individual satellite dynamical scheduling. To make a convincing argument, we perform several experiments to compare the proposed ERS-PDD algorithm with FCFS, EDF, LPTF and SRTF. These experiments show our ERS-PDD algorithm performs better in success rate and the number of permitted tasks.
机译:有关如何通过高效数据中继卫星将遥感数据下载到地站的有意义问题。考虑到任务的优先权,成功率,利用带宽和时间窗口约束,这项工作提出了一种有效的实时调度和主动数据下载算法,用于地球观测卫星的数据下载任务。具有大量任务的多卫星在多卫星之间调度的NP难题被转换为单独的卫星动态调度。为了令人信服的论点,我们执行几个实验,以将提议的ERS-PDD算法与FCF,EDF,LPTF和SRTF进行比较。这些实验表明我们的ERS-PDD算法以成功率和允许的任务数量更好地执行。

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