Routing Strategy for LEO Satellite Networks Based on Membership Degree Functions

• Main Authors: Jian Zhou, Qian Bo, Lijuan Sun, Juan Wang, Xiaoyong Yan
• Format: Article
• Language: English
• Published: Hindawi-Wiley 2020-01-01
• Series: Security and Communication Networks
• Online Access: http://dx.doi.org/10.1155/2020/8822985

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.