Time-varying network internal loss inference based on unicast end-to-end measurements

Most of methods for network link performance parameters inference are under the assumption that the link states are stationary during measurement period, as a result, the time-varying characteristics of link state can not be obtained. In this paper, we present a novel nonstationary internal loss tomography method to infer time-varying link loss characteristic. The method is based on improved three-packet stripe, which can provide more accurate unicast end-to-end measurements. The ns-2 simulation shows good performance of improved probe, and effectiveness of time-varying internal loss inference method in tracking variation of link loss.