Dynamic Reporting Nodes Selection Method for Network Awareness Based on Active–Passive Integrated Network Telemetry in LEO Satellite Networks

Abstract

Satellite network awareness is a key technology for obtaining the status of onboard resources and supporting efficient network management. However, the dynamic characteristics of the network topology results in dynamic transmission delays of awareness data, while the instability of satellite-ground links poses challenges in selecting awareness reporting nodes. Therefore, a dynamic reporting nodes selection method for network awareness based on active-passive integrated network telemetry (DRNSM-APINT) is proposed. Specifically, an APINT model is built which can dynamically select the optimal reporting node and reduce awareness time through the bidirectional aggregation of telemetry packets along the service path. To address the requirements of various services, flexible division strategy through virtual boundaries and the integration of APINT models are combined to achieve customized selection of multiple reporting nodes on each path. Additionally, a lightweight Q-learning algorithm is proposed to dynamically solve the above issue with lower computational complexity. The simulation results demonstrate that the DRNSM-APINT method can decrease the awareness time by 34.5% and improve the overall awareness performance by 17.1%, thereby significantly enhancing the timeliness performance and dynamic characteristics of network awareness.

Keywords

• low-Earth-orbit satellite network
• network awareness
• dynamic reporting nodes selection
• active-passive integrated network telemetry
• lightweight Q-learning algorithm