In this paper, we characterize the delay profile of an Ethernet cross-traffic network statically loaded with one of the ITU-T network models and a larger Ethernet inline traffic loaded with uniformlysized packets, showing how the average time interval between consecutive minimum-delayed packets increases with increased network load. We compare three existing skew-estimation algorithms and show that the best performance is achieved by solving a linear programming problem on "de-noised" delay samples. This skew-estimation method forms the basis of a new sample-mode algorithm for packet delay variation filtering. We use numerical simulations in OPNET to illustrate the performance of the sample-mode filter in the networks. We compare the performance of the proposed PDV filter with those of the existing sample minimum, mean, and maximum filters and observe that the sample-mode filtering algorithm is able to match or outperform other types of filters, at different levels of network load.
An algorithm for implementing higher layer synchronization in ECMA-368 networks is being developed within the framework of the EUWB research and development project. In this paper, we adapt three synchronization algorithms used in wireless sensor networks to suit an Ultra Wideband (UWB) network and evaluate their performance in order to determine the best algorithm for a video streaming application scenario. We also propose some extensions to the ECMA-368 standard that would facilitate the implementation of these algorithms. For these purposes, we have simulated a UWB beacon group in OPNET. We observe that the algorithms that correct for clock drift are better suited for implementation in a UWB network.
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