An Adaptive Multipath Routing for LEO Satellite Network

LEO satellite networks are becoming more and more important because of their potential effectiveness in promoting simultaneous data transmission and global coverage in the future. However, the dynamic changes of the satellite network topology and the intermittency of the inter-satellite links (ISLs) inevitably bring severe challenges to the satellite multipath traffic scheduling. In response to these challenges, we propose an adaptive multipath traffic scheduling algorithm for LEO satellite networks based on pheromone, in which the pheromone is used to characterize the network state and perform topological change adaptive multipath routing. The algorithm can dynamically adapt to dynamics of satellite network and is superior to most related protocols in simulation.