Time Synchronization Algorithm for Wireless Sensor Networks Based on Frequency Offset Estimation

Shaojun Yu, Li Lin, Yujian Wang, Xingyuan Chen
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Abstract

Aiming at solving the poor the classical synchronous algorithm stability in wireless sensor network and high overhead of clock phase offset and frequency offset, a synchronization algorithm (CSMS algorithm) was designed for wireless sensor networks based on frequency offset estimation. The CSMS algorithm used the low overhead phase bias and frequency offset estimation method to improve the synchronization accuracy and stability of the pair nodes. At the same time, a synchronization strategy was built based on layering and broadcast monitoring, which ensured the stability and synchronization accuracy of the algorithm, realized the synchronization with neighbor nodes and root nodes, and optimized the total synchronization cost. Among them, the CSMS algorithm was mainly divided into two stages: level discovery phase, which was used for generating a layered structure of network; synchronization phase, used to estimate clock offset and frequency offset between pairs of nodes. The experimental results showed that the CSMS algorithm can effectively balance the synchronization energy consumption, synchronization accuracy and synchronization stability. As a result, it is summed up that dynamic adjustment of the nodes clock deviation is realized, the long-term stability of synchronization is ensured, and the precision of synchronization is improved

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基于频偏估计的无线传感器网络时间同步算法
针对无线传感器网络中经典同步算法稳定性差、时钟相位偏移和频率偏移开销大的问题,设计了一种基于频偏估计的无线传感器网络同步算法(CSMS算法)。该算法采用低开销相偏和频偏估计方法,提高了对节点的同步精度和稳定性。同时,构建了基于分层和广播监控的同步策略,保证了算法的稳定性和同步精度,实现了与邻居节点和根节点的同步,优化了总同步成本。其中,csm算法主要分为两个阶段:层次发现阶段,用于生成网络的分层结构;同步相位,用于估计节点对之间的时钟偏移和频率偏移。实验结果表明,该算法能有效地平衡同步能耗、同步精度和同步稳定性。综上所述,实现了节点时钟偏差的动态调整,保证了同步的长期稳定性,提高了同步的精度。
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