Method for realizing fuzzy neuron active queue management method in IPCOP
An active queue management and neuron technology, applied in the field of fuzzy neuron active queue management in IPCOP, can solve problems such as limited effectiveness, no application, complex and changeable network, etc., and achieve the effect of small queue volatility
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[0065] The present invention is described in detail below in conjunction with accompanying drawing:
[0066] refer to figure 2 , the technical problem solved by the present invention is to add the fuzzy neuron method to the IPCOP software router and apply it in the actual network environment. The fuzzy neuron method can adjust the queue length according to the expected value, and finally the instantaneous queue length can be stabilized at the Near the expected value, and the queue fluctuation is small, the method that the fuzzy neuron active queue management method of the present invention realizes in IPCOP comprises the following steps:
[0067] 1. Definition and initialization of relevant parameters:
[0068] 1) limit is the router cache size, the initial value is 600packets;
[0069] 2) q ref is the expected value of the queue length, the initial value is 300packet;
[0070] 3) w is the sampling frequency, the initial value is 160;
[0071] 4) q(k) is the instantaneou...
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