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Reliable Clock Estimation Using Linear Weighted Fusion based on Pairwise Broadcast Synchronization

机译:基于成对广播同步的线性加权融合可靠时钟估计

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Clock synchronization in wireless sensor networks (WSNs) has been studied extensively in recent years and many protocols are put forward based on the point of statistical signal processing, which is an effective way to optimize accuracy. However, the accuracy derived from the statistical data can be improved mainly by sufficient packets exchange, which will consume the limited power resources greatly. In this paper, a reliable clock estimation using linear weighted fusion based on pairwise broadcast synchronization is proposed to optimize sync accuracy without expending additional sync packets. As a contribution, a linear weighted fusion scheme for multiple clock deviations is constructed with the collaborative sensing of clock timestamp. And the fusion weight is defined by the covariance of sync errors for different clock deviations. Extensive simulation results show that the proposed approach can achieve better performance in terms of sync overhead and sync accuracy.
机译:近年来,无线传感器网络(WSNS)中的时钟同步已经过广泛研究,并且基于统计信号处理点提出了许多协议,这是优化精度的有效方法。然而,可以主要通过足够的数据包交换来改进统计数据的精度,这将大大消耗有限的电力资源。在本文中,提出了一种基于成对广播同步的线性加权融合的可靠时钟估计,以优化同步准确性而不消耗附加的同步分组。作为贡献,用时钟时间戳的协同感测构建用于多个时钟偏差的线性加权融合方案。并且融合重量由不同时钟偏差的同步误差的协方差定义。广泛的仿真结果表明,该方法可以在同步开销和同步精度方面实现更好的性能。

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