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Research on the Routing Algorithm of LEO-Satellite DTN Network Based on Multi-Attribute Decision Making

机译:基于多属性决策的LEO卫星DTN网络路由算法研究

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Space information network is an important development direction of future information network, and LEO-satellite DTN network is an important part of space information network. As LEO (low earth orbit) satellite network is characterized by big delay, frequent interruption and highly variable topological structure, the issue of routing has become the bottleneck constraint to the development of this network. To facilitate the solving of routing issue, this paper proposes a routing algorithm based on multiple-attribute decision making (MADM), which uses five important indicators, namely satellite network link bandwidth, link establishment delay, free storage space at nodes, network BER (bit error ratio) and data forwarding rate at nodes, as the basis of routing, and decides on the data-forwarding route in accordance with the calculated attribute proportions to realize the DTN routing. Meanwhile, through the adjustment of attribute preference, this algorithm can optimize the paths of various service networks so as to adapt to the multi-service needs of space information network. The result of simulation experiment shows that, compared with Epidemic and PROPHET routing algorithm, this algorithm is significantly advantageous in terms of data transmission success rate and average network delay.
机译:空间信息网络是未来信息网络的重要发展方向,而LEO卫星DTN网络是空间信息网络的重要组成部分。 LEO(低地球轨道)卫星网络的特点是时延大,中断频繁,拓扑结构多变,路由问题已成为制约该网络发展的瓶颈。为了方便解决路由问题,本文提出了一种基于多属性决策(MADM)的路由算法,该算法使用了五个重要指标,即卫星网络链路带宽,链路建立延迟,节点的自由存储空间,网络BER(比特误码率)和节点的数据转发率作为路由的基础,并根据计算出的属性比例决定数据转发路由,以实现DTN路由。同时,通过调整属性偏好,该算法可以优化各种服务网络的路径,以适应空间信息网络的多服务需求。仿真实验结果表明,与Epidemic和PROPHET路由算法相比,该算法在数据传输成功率和平均网络延迟方面具有明显优势。

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