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Distributed drift estimation for time synchronization in lossy networks

机译:分布式漂移估计,用于有损网络中的时间同步

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Two distributed asynchronous drift estimation algorithms for time synchronization in networks with random communication delays and measurement noise are proposed. The algorithms are superior to similar existing methods. Convergence of the algorithms to consensus in the mean square sense and w.p.1 is proved. Rate of convergence of the algorithms is analyzed. It is also shown that the algorithms can be applied as flooding algorithms, with one reference node. Illustrative simulation results are also given.
机译:提出了两种具有随机通信时延和测量噪声的网络中时间同步的分布式异步漂移估计算法。该算法优于类似的现有方法。证明了算法在均方意义和w.p.1上的收敛性。分析了算法的收敛速度。还显示了该算法可以作为具有一个参考节点的泛洪算法来应用。还给出了说明性的仿真结果。

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