Abstract
Recognizing that Internet congestion control is a complex nonlinear system, we propose here to use an intelligent controller to improve its stability and performance. In particular, we propose here a new, powerful, easy-to-configure and robust active queue management (AQM) scheme called adaptive neuron AQM (AN-AQM). We present extensive simulation results for AN-AQM, over a wide range of network conditions and scenarios, that demonstrate its attributes. We demonstrate its robustness in various realistic environments involving bursty HTTP connections and non-responsive UDP connections. Comparison with other AQM schemes has demonstrated the superiority of AN-AQM over well-known AQM schemes in achieving faster convergence to queue length target, and smaller queue length jitter.
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Sun, J., Zukerman, M. (2007). An Adaptive Neuron AQM for a Stable Internet. In: Akyildiz, I.F., Sivakumar, R., Ekici, E., Oliveira, J.C.d., McNair, J. (eds) NETWORKING 2007. Ad Hoc and Sensor Networks, Wireless Networks, Next Generation Internet. NETWORKING 2007. Lecture Notes in Computer Science, vol 4479. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72606-7_72
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DOI: https://doi.org/10.1007/978-3-540-72606-7_72
Publisher Name: Springer, Berlin, Heidelberg
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