DAC-Sync:基于多普勒效应和聚类模型的水下时间同步算法研究

Yunfeng Han, Ziyi Guo, Yujie Ouyang, Jucheng Zhang
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引用次数: 0

摘要

时间同步技术在水声传感器网络中起着重要的作用,它是网络节点之间协同完成分布式任务的基础。针对水下传输延迟长、节点移动性强、节点能量有限等问题,提出了一种基于多普勒效应和聚类模型的水下时间同步算法(DAC-Sync)。采用聚类模型实现节点间的分阶段时间同步。此外,在估计多普勒尺度因子时考虑了时钟频率偏差的影响,通过多次单向交互解决时钟频率偏差,并通过双向交互获得时钟相位偏移,完成整个时间同步过程。在相同的仿真条件下,比较了DAC-Sync和CD-Sync的性能。结果表明,在106秒的时间内,该算法的正点精度平均漂移约为36微秒/秒,而CD-Sync的正点精度平均漂移约为146微秒/秒,而正点精度则分别漂移1.5毫秒和6.1毫秒。在能耗方面,与CD-Sync相比,DAC-Sync的计算成本更低,同步过程更简单。因此,该算法具有较高的能量效率和较高的同步精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DAC-Sync: Research on underwater time synchronization algorithm based on Doppler effect and clustering model
Time synchronization technology plays an important role in underwater acoustic sensor networks, which is the foundation of the cooperation among network nodes to complete distributed tasks. To address the problem of long underwater propagation delay, the mobility of nodes, and the limited energy of nodes, this paper proposes an underwater time synchronization algorithm (DAC-Sync) based on the Doppler effect and the cluster model. The clustering model is used to realize the time synchronization between nodes in stages. Besides, the effect of clock frequency skew is considered when estimating the Doppler scale factor, the clock frequency skew is solved by multiple one-way interactions and obtain clock phase offset through a two-way interaction, to complete the whole time synchronization process. The performance of DAC-Sync was compared with CD-Sync under the same simulation conditions. The results show that, for punctuality accuracy, the algorithm drifts by an average of around 36 microseconds per second over a period of 106 seconds, while CD-Sync drifts by an average of around 146 microseconds per second, while, drifting 1.5 milliseconds and 6.1 milliseconds respectively for timing accuracy. For energy consumption, compared with CD-Sync, DAC-Sync has lower computing cost and simpler synchronization process. Therefore, this algorithm has higher energy efficiency and high synchronization accuracy.
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