Multiwavelet based-approach to detect shared congestion in computer networks

Main Article Content

Tarik Zeyad Ismaeel
Ahmed A. Mahdi A. Kareem

Abstract

Internet paths sharing the same congested link can be identified using several shared congestion detection techniques. The new detection technique which is proposed in this paper depends on the previous novel technique (delay correlation with wavelet denoising (DCW) with new denoising method called Discrete Multiwavelet Transform (DMWT) as signal denoising to separate between queuing delay caused by network congestion and delay caused by various other delay variations. The new detection technique provides faster convergence (3 to 5 seconds less than previous novel technique) while using fewer probe packets approximately half numbers than the previous novel technique, so it will reduce the overload on the network caused by probe packets. Thus, new detection technique will improve the overall performance of computer network.

Article Details

How to Cite
“Multiwavelet based-approach to detect shared congestion in computer networks” (2012) Journal of Engineering, 18(11), pp. 1219–1228. doi:10.31026/j.eng.2012.11.03.
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Articles

How to Cite

“Multiwavelet based-approach to detect shared congestion in computer networks” (2012) Journal of Engineering, 18(11), pp. 1219–1228. doi:10.31026/j.eng.2012.11.03.

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References

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