The deployment of Mobile Edge Computing (MEC) servers on Low Earth Orbit (LEO) satellites to form MEC satellites is of increasing concern. A routing strategy is the key technology in MEC satellites. To solve the uncertainty problem of LEO satellite link information caused by complex space environments, a routing strategy for LEO satellite networks based on membership degree functions is proposed. First, a routing model based on uncertain link information is established. In particular, the membership function is designed to describe the uncertain link information. Based on this, the comprehensive evaluation of the path is calculated, and the routing model considering uncertainty is established with the comprehensive evaluation of the path as the optimization objective. Second, in order to quickly calculate the path, a grey wolf optimization algorithm is designed to solve the routing model. Finally, simulation results show that the proposed strategy can achieve efficient and secure routing in complex space environments and improve the overall performance compared with the performances of traditional routing strategies.

中文翻译：

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基于隶属度函数的LEO卫星网络路由策略

在低地球轨道（LEO）卫星上部署移动边缘计算（MEC）服务器以形成MEC卫星越来越引起人们的关注。路由策略是MEC卫星中的关键技术。为解决复杂空间环境引起的LEO卫星链路信息不确定性问题，提出一种基于隶属度函数的LEO卫星网络路由策略。首先，建立基于不确定链路信息的路由模型。特别地，隶属度函数被设计为描述不确定的链接信息。在此基础上，计算出路径的综合评价，以路径的综合评价为优化目标，建立了考虑不确定性的路由模型。其次，为了快速计算路径，设计了灰狼优化算法来求解路由模型。最后，仿真结果表明，与传统路由策略相比，该策略可以在复杂的空间环境中实现高效，安全的路由，并提高整体性能。