Routing control of packet flow using neural network
Routing control of packet flow using neural network
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DOI：
10.1016/s0378-4371(01)00229-1
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发表时间：
2001-08-15
期刊：
影响因子：
3.3
通讯作者：
Ishioka, S
中科院分区：
文献类型：
--
作者：
Horiguchi, T;Ishioka, S
我们在统计物理的框架内研究了计算机网络中的数据包流问题。我们提出了一个在每个节点上放置神经网络的数据包路由控制模型。定义了整个系统的能量函数，以表示队列长度、数据包到目的地的距离和每个节点上神经元的放电率等因素之间的竞争关系。为了使能量随时间减少，利用平均场近似导出了神经元输出的动力学方程。通过计算机模拟，我们计算了被触发节点的平均数量，到达目的地的数据包的平均数量，等等。我们发现缓冲区的大小对所提出的数据包路由控制模型至关重要。(C) 2001 Elsevier Science B.V.版权所有
We investigate a packet flow problem in a computer network within a framework of statistical physics. We propose a model for packet routing control by putting a neural network at each node. The energy function for the whole system is defined in order to express competition among queue length, distance to destination of a packet and firing rate of neurons at each node and so on. A dynamical equation for output of neurons is derived in order to make the energy decrease as a function of time, by using a mean field approximation. By means of computer simulations, we calculate an average number of fired nodes, an average number of packets arrived at their destinations, and so on. We find that the buffer size is essential in the proposed model for packet routing control. (C) 2001 Elsevier Science B.V. All rights reserved.