A fault detection design for clustered space information network based on FTA

Abstract

The backbone network of the Space Information Network (SIN) contains high orbit satellites, medium orbit satellites and low earth orbit satellites. The fault detection and diagnosis capability of backbone network is the key to the healthy operation of SIN. In this paper, we present a test model for fault detection of backbone network, adopting the way of clustering to classify satellites to different clusters for the convenience to manage the backbone network. Specially, each cluster has fixed topology. It is very handy for fault detection. We exploit FTA (fault tree analysis) to analyze the fault of SIN from a testing model of satellite backbone network. And by FTA analysis, a fault detection design of GEO/MEO/LEO network is proposed. It is practical and easy to implement in engineering.