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

机译:基于洪泛的Leo卫星网络中Ads-B数据包路由算法

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摘要

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.
机译:中国目前没有能力在全球范围内部署卫星地面站,因此所有ADS-B数据都将汇聚在通过卫星网络连接到位于中国的地面站的卫星上。在这种情况下,大多数路由算法和流量平衡方法会导致大量不必要的消耗,从而降低算法的性能。为了弥补这些方法的缺陷,本文提出了一种目的地节点泛洪全局-局部路由算法(DFGL)。首先,在全球范围内,采用了一种可以大大加快算法收敛速度的多目标节点洪泛算法。其次,在收敛节点的N跳范围内进行多路径路由优化。之后,我们的算法通过动态成本估算和概率路径选择得到了进一步改进。在空间网络仿真(SNS)系统上进行的仿真验证了DFGL的有效性和准确性。实验结果表明,DFGL在丢包率和平均时延方面具有明显优势。

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