Research on End-to-End Delay Variation Feature Extraction Method for Nonstationary Network

Traditional tomography methods are based on a single statistical feature(such as delay difference, variance, etc.) of network as a measure of the shared path length, but the single statistics don't reflect the time-varying of network performance parameters. In this paper, the packet group detection model is used to obtain the end-to-end delay curve in the non-stationary network for the first time. Then wavelet packet decomposition is used to extract non-stationary features of end-to-end delay variation.