Abstract
In this paper we employ actual wireless data that draw from well known archives of network traffic traces and investigate the scaling and multifractal properties of WLAN traffic by using a multifractal detrended fluctuation analysis technique. Through multifractal analysis, the scaling exponents, generalized Hurst exponents and singularity spectrum are derived. These results indicate that the WLAN traffic is multifractal. Moreover, comparing the generalized Hurst exponent of the original WLAN traffic series with the result of the corresponding shuffled series, we conclude that the multifractality nature of WLAN traffic is due to both fat-tailed probability distributions and long range correlations.
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Feng, H., Xu, Y. Multifractal Detrended Fluctuation Analysis of WLAN Traffic. Wireless Pers Commun 66, 385–395 (2012). https://doi.org/10.1007/s11277-011-0347-y
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DOI: https://doi.org/10.1007/s11277-011-0347-y