Event-Triggered Time Synchronization With Varying Skews for Wireless Sensor Networks Based on Average Consensus

IF 6.7 2区计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY

IEEE Transactions on Network Science and Engineering Pub Date : 2025-03-27 DOI:10.1109/TNSE.2025.3555260

Heng Wang;Xiong Zhu;Xiaojiang Liu;Yan Zou;Ting Tan;Min Li

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Abstract

Existing event-triggered consensus-based time synchronization algorithms are proposed under the ideal wireless sensor networks without communication delays and varying skews of clocks. Nevertheless, delays and varying skews have a serious impact on the accuracy and reliability of time synchronization. Considering a more practical and challenging scenario with the above uncertainties, we investigate the average-consensus-based time synchronization algorithm. Specifically, a new triggering policy based on the event-triggered node interactions mechanism is presented, giving a threshold to constrain communication overhead. Furthermore, a memory-efficient relative skew estimator is utilized to counteract the influence of communication delays, which reduces storage requirements while achieving highly accurate estimation. To guarantee convergence under time-varying clock skews, a proportional-integral consensus skew estimator is considered to make compensation for skews. In addition, the convergence analysis of the proposed algorithm is proved theoretically. Simulation results demonstrate the effectiveness of the proposed algorithm, meanwhile, our proposed algorithm outperforms other existing algorithms in terms of energy consumption.

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基于平均一致性的无线传感器网络变偏差事件触发时间同步

现有的基于事件触发共识的时间同步算法是在理想的无线传感器网络中，在没有通信延迟和时钟偏差的情况下提出的。然而，延迟和偏差的变化严重影响了时间同步的准确性和可靠性。考虑到具有上述不确定性的更实际和更具挑战性的场景，我们研究了基于平均共识的时间同步算法。具体来说，提出了一种基于事件触发节点交互机制的触发策略，给出了约束通信开销的阈值。此外，利用内存高效的相对倾斜估计器来抵消通信延迟的影响，从而在实现高精度估计的同时减少了存储需求。为了保证在时变时钟偏差下的收敛性，考虑了一种比例积分一致偏差估计器对偏差进行补偿。此外，从理论上证明了该算法的收敛性。仿真结果证明了该算法的有效性，同时在能耗方面优于现有算法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Network Science and Engineering Engineering-Control and Systems Engineering

CiteScore

12.60

自引率

9.10%

发文量

393

期刊介绍： The proposed journal, called the IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.