Abstract
PI is a newly proposed Active Queue Management algorithm that has many important applications. But in case of heavy congestion its response is sluggish, and because of its static parameter’s setting PI is sensitive to network status, such as RTT, capacity of neck-link, and number of TCP flows. To overcome these shortcomings of PI algorithm, we propose a novel AQM scheme, called Neuron based PI or NPI. NPI takes PI controller as an ADALINE with two inputs, and the proportional and integral factors of the controller are adjusted online by LMS algorithm. Simulation results show that under NPI the queue length converges to the desired value quickly and the oscillation is small.
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© 2005 Springer-Verlag Berlin Heidelberg
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Qing, L., Zhu, Q., Wang, M. (2005). Designing Adaptive PI Algorithm Based on Single Neuron. In: Lu, X., Zhao, W. (eds) Networking and Mobile Computing. ICCNMC 2005. Lecture Notes in Computer Science, vol 3619. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11534310_84
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DOI: https://doi.org/10.1007/11534310_84
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28102-3
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