Scholarlink

<p>The increasing reliance on satellite constellations for global connectivity, particularly in remote and underserved areas, poses significant challenges in task scheduling within these networks. As satellite systems become integral components of edge computing architectures, optimizing task allocation and timing becomes crucial to ensure efficient operation and service delivery. In response to these challenges, this article introduces an innovative approach to task scheduling within satellite constellations, which are increasingly functioning as edge computing platforms. By leveraging Inter-Satellite Links and focusing on the intricate dependencies among satellite tasks, we have developed the SA-DCoSA algorithm, specifically tailored to address the unique timing constraints inherent in satellite applications. The effectiveness of this algorithm is highlighted by substantial improvements in application on-time completion rates and reductions in overall task completion times, as validated through rigorous simulations using real Iridium constellation Two-Line Element set data. This work not only advances the operational efficiency of satellite networks but also enhances their capacity to meet the growing demands of global connectivity.</p>

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A novel satellite application deployment method in Satellite Constellation through Inter-Satellite Links

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年11月28日

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  • Xifeng Xu,
  • Yunni Xia,
  • Qinglan Peng,
  • Mengdi Wang,
  • Yang Yu,
  • Jiale Zhao

摘要

The increasing reliance on satellite constellations for global connectivity, particularly in remote and underserved areas, poses significant challenges in task scheduling within these networks. As satellite systems become integral components of edge computing architectures, optimizing task allocation and timing becomes crucial to ensure efficient operation and service delivery. In response to these challenges, this article introduces an innovative approach to task scheduling within satellite constellations, which are increasingly functioning as edge computing platforms. By leveraging Inter-Satellite Links and focusing on the intricate dependencies among satellite tasks, we have developed the SA-DCoSA algorithm, specifically tailored to address the unique timing constraints inherent in satellite applications. The effectiveness of this algorithm is highlighted by substantial improvements in application on-time completion rates and reductions in overall task completion times, as validated through rigorous simulations using real Iridium constellation Two-Line Element set data. This work not only advances the operational efficiency of satellite networks but also enhances their capacity to meet the growing demands of global connectivity.