论文部分内容阅读
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。
According to the characteristics of WSN sensor nodes, an improved linear pulse-coupled oscillator model is proposed based on the pulse-coupled oscillator model of firefly mutual synchronization mode. At the same time, this model solves the influence of the sensor node on the synchronization due to the different frequency of the crystal oscillator. The theory proves that the firefly synchronization algorithm based on the linear pulse-coupled oscillator model with different frequencies can be synchronized with probability 1. The algorithm is implemented on the WSN physical platform and the experimental results are analyzed. Experiments show that this algorithm can synchronize the time of wireless sensor network to millisecond accuracy.