A Flooding-Based Routing Algorithm for Ads-B Packets Transmission in Leo Satellite Network

China currently does not have the capacity to deploy satellite ground stations around the world, therefore all ADS-B data will converge at the satellites that connected to ground stations located in China via satellite network. In this scenario, most routing algorithms and traffic balancing methods cause a lot of unnecessary consumption, reducing the performance of the algorithm. To remedy the defect of these methods, this paper proposes a destination node flooding global-local routing algorithm (DFGL). Firstly, in the global scope, a multi-destination node flooding algorithm which can greatly accelerate the convergence speed of the algorithm is adopted. Secondly, the multipath routing optimization is carried out within the N-hop range of convergence nodes. After that, our algorithm is further improved by dynamic cost estimation and probability path selection. The simulations operated on Space Network Simulation (SNS) system verifies the effectiveness and accuracy of DFGL. The experimental results show that the DFGL has significant advantages in packet drop rate and average delay.