一种新的多径网络转发算法

Ling Cai, Jinkuan Wang, Cuirong Wang, L. Han
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引用次数: 5

摘要

为了提高有线网络实时应用中的服务质量(QoS),提出了一种基于预测方法和优化理论的数据转发算法。所提出的预测方法是基于每个预定时间所有可用网络路径的观测趋势的时间序列模型。然后,这些预测信息被用作转发决策的输入。转发算法是利用粒子群算法(PSO)在下一个预测周期内,通过调整每条路径上报文的转发速率,使丢包率最小化。进行了许多实验。该算法是最具前景的数据转发方法,即使在不利的场景下也能保持有效的网络性能。
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A novel forwarding algorithm over multipath network
In this work, a novel data forwarding algorithm based on prediction method and optimization theory is proposed for improving the quality of service (QoS) in real-time applications over the wire network. The proposed prediction method is based on the time-series models of observed trends over all available network paths at each predetermined time. This predictive information is then used as an input for the forwarding decision. The forwarding algorithm is meant to minimize the packet loss rate by adjusting the forwarding rate of packets over each path for next prediction period by the PSO (particle swarm optimization). A number of experiments are performed. The proposed algorithm makes the most promising data forwarding method with an effective network performance, even under unfavorable scenarios.
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