| 摘要(英) |
In recent years, there has been significant attention given to the development of low earth orbit (LEO) satellites. Satellites are designed for various missions (e.g., remote sensing, communication), and data downloading to ground stations make users/service providers can access the desired information. However, the contact time between satellites and GS is not fixed each time, and the amount of data carried by satellites may also vary. Due to the regularity of orbital drift, the variations in the duration of each satellite’s passage over GS also follow a pattern. We establish a contact time prediction model to estimate the next contact time of satellites with GS. For fixed mission/ target area, the trajectories of satellites passing through these areas also exhibit regularity, allowing us to establish a model for estimating the amount of data generated during each service. By combining estimation of contact time and estimation of data generated during each service, we developed an relay candidate satellites selection algorithm. According to our experimental results, our approach maintains a high delivery rate while meeting the specified latency requirements and having a lower switching frequency. |
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