A Storage-Time-Aggregated Graph-Based QoS Support Routing Strategy for Satellite Networks

As one typical delay tolerant network (DTN), the satellite networks possess the intermittent connections, the large-scale time delays and time- varying topologies. Such features seriously affect the delivery of data with certain constraints about the traffic or the latency. In this paper, we design one QoS support routing strategy for the satellite networks to achieve multiple flow-maximize paths with acceptable delivery delays. In order to satisfy the demands of different missions, the storage time aggregated graph (STAG) is utilized to construct an on-demand mission flow model with some temporal constraints. Moreover, the proposed flow model carefully depicts the relation between the time-varying topologies and the features of different missions. Specially, one flow-maximizing routing scheme with shortest path is proposed for matching the rare contacts, which has low computation complexity. Finally, we demonstrate the efficacy of the proposed schemes through simulations.