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Clock Skew Estimation for Timestamp-Free Synchronization in Industrial Wireless Sensor Networks

机译:时钟偏斜在工业无线传感器网络中的时间戳 - 无线同步的估计

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Existing packet-based synchronization approaches take extensive energy for industrial wireless sensor networks due to substantial timing message exchanges. Combined with acknowledgement (ACK), this article proposes an energy-efficient synchronization protocol without exchanging timestamps. Also, a mapping rule of ACK response time is presented for the joint estimation of skew and fixed delay without requiring a following response in each cycle, so that estimation can be implemented in parallel to data transmission. Then, the timestamp-free synchronization technique is extended to the receiver-only synchronization scenario to further reduce communication overhead. Assuming Gaussian variable delays, the maximum likelihood estimators and corresponding lower bounds for slave node and silent node are developed, as well as a low-complexity estimator for silent node. In addition, considering the dynamics of clock, a timestamp-free clock skew tracking algorithm using Kalman filtering is developed. Simulation results validate the efficiency of the proposed estimators.
机译:由于大量定时消息交换,现有的基于分组的同步方法对工业无线传感器网络进行广泛的能量。结合确认(ACK),本文提出了一种无需交换时间戳的节能同步协议。此外,呈现ACK响应时间的映射规则,用于偏斜和固定延迟的联合估计,而不需要在每个周期中进行以下响应,从而可以与数据传输并行地实现估计。然后,将时间戳的同步技术扩展到仅接收器的同步场景,以进一步降低通信开销。假设高斯可变延迟,开发了最大似然估计器和用于从节点和静音节点的相应下限,以及用于静音节点的低复杂度估计器。此外,考虑到时钟的动态,开发了一种使用卡尔曼滤波的无时间训练时钟偏斜跟踪算法。仿真结果验证了所提出的估算率的效率。

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