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首页> 外文期刊>International Journal of Swarm Intelligence and Evolutionary Computation >An Open Flow Controller Based on the Intercerebral Neural Network for Media Independent Handover
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An Open Flow Controller Based on the Intercerebral Neural Network for Media Independent Handover

机译：基于脑神经网络的媒体独立切换的开放流控制器

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摘要

This paper presents a novel open flow controller based on the intercerebral neural network for the media independent handover over wireless operation. This controller makes a binary decision based on the link control parameters obtained instantaneously from the trained neural network, which in turn depends on the instantaneous mobile speed interaction with the wireless link performance parameters. These parameters of packet loss, round trip time, radio signal strength, bandwidth, data cost and vehicle speed are typically different from network to network. We use a mutated particle swarm optimization to train the fundamental controller equation for the media independent handover that are mixed with the radial and sigmoid activation functions of the intercerebral neural network. Simulations based on the field experiment test data show that the system using the swarm intelligence algorithm is practical for the improvement of the overall secure networking experience for the fast delivery.
机译：本文提出了一种基于脑间神经网络的新型开放流控制器，用于媒体独立切换无线操作。该控制器根据从受过训练的神经网络即时获得的链路控制参数做出二进制决策，而该决策又取决于瞬时移动速度与无线链路性能参数的交互作用。网络之间的丢包，往返时间，无线电信号强度，带宽，数据成本和车速这些参数通常是不同的。我们使用变异粒子群优化算法来训练与媒体无关的切换的基本控制器方程，该方程与脑间神经网络的径向和S型激活函数混合在一起。基于现场实验测试数据的仿真表明，使用群体智能算法的系统对于提高整体安全网络体验以实现快速交付非常实用。

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