Abstract: To address the issues of satellite networks in integrated space-air-ground networks being susceptible to single-event effects (SEEs), which can lead to link disruptions and service degradation, this study investigates SEE-oriented re-silient networking and reconfiguration methods for satellite networks. The aim is to enhance the survivability and service reliability of satellite networks under SEEs. A collaborative resilient architecture comprising three layers of space-based, air-based, and ground-based networks is proposed, along with a resilient resource pool that includes a backup resource pool and a backup node pool. A risk awareness module is integrated to enable the satellite network to detect faulty nodes at an early stage. Based on the Walker network architecture and time-slice mechanism, a routing planning algorithm with the minimum delay and risk is proposed by incorporating the path SEE failure rate and link delay as weights into the Dijkstra algorithm. Meanwhile, faults caused by SEEs are classified into two levels: Level 1 reversible faults induced by single event upsets (SEUs) and Level 2 irreversible faults caused by single event burnouts (SEBs). A fault detection mechanism combining local detection, neighbor verification, and ground confirmation is established. Additionally, a local route repair algorithm and a node collaborative replacement repair algorithm are proposed, forming a hierarchical elastic reconfiguration system. STK-NS3 joint simulations based on the Iridium constellation show that the time overhead for detecting and reconfiguring faulty nodes is within the acceptable range of the system. After faulty nodes appear in the network, the proposed method can reconfigure the network in a timely manner, increasing the data packet delivery rate from 82.4% to 97.1%. The research results pro-vide key technical support for the stable operation of satellite networks in high-radiation environments.

Key words: single particle effect, satellite network, resilient networking, self-healing reconstruction, Integration of space,, sky,, and earth