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Based deviation-optimal by using Kalman Filter algorithm in receiver-only time synchronization for wireless sensor networks

机译:无线传感器网络仅接收器时间同步中基于卡尔曼滤波算法的偏差最优

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摘要

In recent years, many time synchronization protocols for wireless sensor networks are presented and reducing the number of synchronous data packets in transmission has become a new research breakthrough. In this paper, the nodes with amount of power held are placed in different areas where the two nodes may exchange the synchronization information. This way does not only efficiently use of energy during the synchronization process, but also reduce the overall timing messages. Based on inherent clock drift and clock offset problem, the Kalman Filter algorithm is used to optimize the clock deviation, which can minimize the mean-square error (MSE). The performance of the proposed time synchronization algorithm is described through the simulation results, there is not present relatively large deviation after optimizing comparing to clsscical TPSN algorithm for synchronization precision.
机译:近年来,提出了许多用于无线传感器网络的时间同步协议,减少传输中同步数据包的数量已成为新的研究突破。在本文中,拥有电量的节点被放置在两个节点可以交换同步信息的不同区域中。这种方式不仅在同步过程中有效地利用了能量,而且减少了总体定时消息。基于固有的时钟漂移和时钟偏移问题,卡尔曼滤波器算法用于优化时钟偏差,从而可以最小化均方误差(MSE)。仿真结果说明了所提出的时间同步算法的性能,优化后的时间精度与经典的TPSN算法相比,没有较大的偏差。

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