Traffic modeling for communications networks: a multifractal approach based on few parameters

DOI10.1016/J.JFRANKLIN.2020.12.015zbMath1460.90053OpenAlexW3110922622MaRDI QIDQ1996650

Maykon Renan P. da Silva, Flávio Geraldo C. Rocha

Publication date: 25 February 2021

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2020.12.015

Mathematics Subject Classification ID

Communication networks in operations research (90B18) Communication theory (94A05)

Cites Work

• Multifractal detrended fluctuation analysis of nonstationary time series
• General solution to the losses estimation for multifractal traffic
• Multifractal analysis of Hang Seng index in Hong Kong stock market
• Multi-fractional generalized Cauchy process and its application to teletraffic
• Right-side-stretched multifractal spectra indicate small-worldness in networks
• Multifractal nature of network induced time delay in networked control systems
• Wavelet analysis of long-range-dependent traffic
• A multifractal wavelet model with application to network traffic

This page was built for publication: Traffic modeling for communications networks: a multifractal approach based on few parameters