本课题面向国家航天科技和空天科学的发展趋势，结合空天网络的实时性应用和应急需求，以解决空天任务数据的可靠和快速返回问题为切入点，深入探索在高动态链路条件下DTN网络的匹配传输机理，构造空天图像数据的连续传输路径，实现空天网络星座分布、数据的转发策略和链路特性之间的匹配。主要目标是基于时变图模型建立网络传输性能的评估体系，优化设计与星座分布和链路特性相匹配的传输策略，在保障可靠性条件下加快数据在网络中的传递，为空天网络传输资源的准确评估、快速聚合和高效利用奠定理论基础，也为空间信息和应急快速响应的时空连续支撑能力提供界定和分析工具。本课题搭建能够模拟高动态链路特性的空天DTN网络实验平台（5个物理节点以上），以低轨卫星星座+天链一号星座系统为例，开展地面网络仿真实验。

With the trends of the globe developments on the scientific aerospace techniques and space communications, this project develops an elaborated Store-and-Forward space Disruption-Tolerant Networks via distributed constellations of orbited spacecrafts, which could achieve the rapid return of scientific data by multi-hop delivery. In the project, we attempt to explore the influential aspects of the channel dynamic of each hop on the end-to-end bundle delivery, and find the best route to transport the bundle constantly, by building a time-driven graph of network topology. Using the Extreme Value Theory, we estimate the delivery performance of each section of entire route and deriving the suitable criterions of end-to-end performance. Then, using the Linear/Nonlinear programming algorithms, we could obtain the optimal parameters for the system settings of the bundle delivery, which would efficiently expedite the return of the scientific data from the constellation-based DTN networks. By exploring the collaborated supporting capabilities of the constellation-base network in the high dynamic scenarios, as in this work, we could make systematic theoretical and technical breakthroughs on the real-time applications, such as disaster monitor system, fast-response micro-satellite team. As a hopeful result, the project expects to make the following improvements: obtaining significant gains with the respect of the bundle delivery delay and system throughput. Besides, we will build an experimental platform for the space network with the networked computers and necessary wireless hardware, which could effectively simulate the dynamic of the real space environment and develop the technical experiments.