We improve the off-line scheduling scheme of existing wireless sensor network. Firstly, we introduce Bayesian statistical method in synchronous wireless sensor network. Then, we let duration and interval, the reflection of characteristics of stochastic events, obey exponential distribution. Next, we make Bayes posterior estimation on parameter. Based on Bayesian estimate, we obtain the analytical solution of the capture probability of stochastic events and sensor energy efficiency of capture events. Finally, we propose an on-line scheduling scheme for synchronous wireless sensor networks. This paper compares and analyzes the simulation experiments in on-line scheduling scheme and off-line scheduling scheme, and the results show that compared with off-line scheduling scheme with constant distribution parameter values, on-line scheduling scheme can effectively reduce the probability of missing stochastic events and increase the probability of capturing events, further save energy consumption of wireless sensor network, and extend network lifetime.

我们改进了现有无线传感器网络的离线调度方案。首先，我们介绍了同步无线传感器网络中的贝叶斯统计方法。然后，我们让持续时间和间隔，反映随机事件的特征，服从指数分布。接下来，我们对参数进行贝叶斯后验。基于贝叶斯估计，我们获得了随机事件的捕获概率和捕获事件的传感器能​​效的解析解。最后，我们提出了一种同步无线传感器网络的在线调度方案。对在线调度方案和离线调度方案中的仿真实验进行了比较和分析，结果表明，与具有恒定分布参数值的离线调度方案相比，