A Mine WSN Low Consumption Acquisition Method Based on Neural Network
Fan Chao, Liang Zhou, Yongjun Li, Shuanghu Luo, Li Zhuoka · 2018
Wireless Sensor Network has been widely used in mine monitoring. To reduce the power consumption of the wireless sensor nodes in the mine monitoring system, we proposed a new wireless sensor node work mode. The source of power consumption in wireless sensor network is analyzed, and the low power acquisition method based on path loss model and Gauss model is expounded, and a multi-model acquisition method based on neural network is proposed. The simulation is carried out on MATLAB. The experimental results show that the path loss model and the Gauss model acquisition method have achieved a certain effect in reducing energy consumption, while the multi model combination method based on neural network is most effective for reducing power consumption.