A wavelet-based tool is reported for the analysis of Long-Range Dependence (LRD) traffic to allow for semiparametric estimation of the Hurst (H) parameter. Validation has been also done, by using fBm and fGn models, and the obtained estimations show excellent agreements with the theoretical results.