针对低轨卫星网络中网络时空连通性和流量阻塞的问题，综合考虑了星间链路状态、卫星能效和负载状态，提出了一种基于数据校验时空图的连接计划设计（data checktime-space graph-contact plan design,DCTSG-CPD）方案。首先，构建基于电池模型的数据校验时空图（data check time-space graph,DCTSG），并以星间链路和卫星能源为约束，将连接计划设计建模为最大化吞吐量问题；其次，在DCTSG的基础上，通过对校验数据和转发数据的对比判断网络拥塞状态，根据卫星节点负载和星间链路流量阻塞状态，生成可用连接计划（contact plan,CP）；最后，设计适应度函数以评价可用CP的优劣，提出基于数据校验的遗传算法更新CP以生成吞吐量最大化的最佳CP。仿真结果表明，所提DCTSG-CPD方案不仅能够提升吞吐量，而且可以有效降低数据交付时延。
To address network time-space connectivity and traffic congestion issues in low earth orbit satellite networks, a contact plan design scheme based on data check timespace graph (DCTSG-CPD) is proposed via jointly considering the inter-satellite links state, satellite energy efficiency and load state. Firstly, a data check time-space graph (DCTSG) is constructed based on the battery model, and the contact plan design is modeled as a problem of maximizing throughput under constraints of inter-satellite links and satellite energy. Secondly, on the basis of the given DCTSG, the network congestion state is judged through comparing the checkout data and forwarded data. An available contact plan (CP) is generated according to the satellite load and the traffic congestion state of inter satellite link. Finally, the fitness function is designed to evaluate the available CP, and a data check genetic algorithm (DCGA) is developed to update the optimal CP with maximum throughput. Simulation results demonstrate that the proposed DCTSG-CPD scheme improves throughput, and reduces data delivery delay effectively.
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