基于线性脉冲耦合振荡器模型的WSN时间同步

Linear Pulse-coupled Oscillators Based WSN Time Synchronization

针对WSN传感器节点特点,基于萤火虫互同步模式的脉冲耦合振荡器模型,提出了一种改进的线性脉冲耦合振荡器模型。同时,该模型解决了传感器节点由于晶振的差异而频率不同引起的对同步的影响。理论证明基于频率不同的线性脉冲耦合振荡器模型的萤火虫同步算法能以概率1同步。将该算法在WSN物理平台进行了实现,并对实验结果进行了分析。实验表明,该算法可以将无线传感器网络的时间同步到毫秒级精度。

For application of wireless sensor network （WSN）, time synchronization is a necessary condition, and synchronous precision determines the quality of services. The typical advanced time synchronization algorithms are lacking in the robustness, expansibility and large-scale application of wireless sensor network. However, the ancient origin firefly synchronization mechanism as the new time synchronization algorithm has the advantages for WSN. According to characteristics of sensor nodes, the paper presents an improved linear pulse-coupled oscillators model based on fireflies mutual-synchronous mode of pulse- coupled oscillator model. Meanwhile, the model has solved the issue caused by frequency differences between nodes for crystal oscillator differences. Theory proves that firefly synchronization algorithm will synchronize with probability 1 based on linear pulse-coupled oscillator model with different frequencies. The research implements the algorithm on WSN physical platform and analyzes the results. Experiment shows that firefly algorithm can synchronize WSN to reach microsecond precision.