Research On Dynamic Sampling Strategy Of Wireless Sensor Network Node

In recent years,wireless sensor network technology has been the international community’s attention,with the sensor technology is increasingly mature,its application areas are more and more widely.In practice,wireless sensor network nodes are usually deployed in more complex environments,which typically use battery power.Energy efficiency is a key indicator of wireless sensor networks.How to improve the energy efficiency of sensor nodes has become one of the most worthy of research in wireless sensor networks.Wireless sensor network node has three main energy consumption modules,information processing module,sensor module and wireless communication module.The wireless communication module of the wireless sensor node is more energy than the other two modules.For the whole wireless sensor network,the energy consumed by the wireless communication between the node and the node occupies the whole wireless sensor.Due to the existence of time correlation and spatial correlation,the wireless sensor nodes can generate a lot of redundant information in the process of data acquisition and reduce the generation of redundant information in the wireless sensor network.It can reduce the energy consumption greatly,so as to improve the energy efficiency.This is advantageous for extending the service life of the wireless sensor network.In this paper,a dynamic sampling strategy DSI of wireless sensor network is proposed.After comparing the current sampled data with the historical sampled data,a negative feedback adjustment method is introduced to determine the sampling interval of the sensor node dynamically.At the lower sampling frequency to meet the requirements of signal measurement,thereby reducing energy consumption and improving the energy efficiency of sensor nodes.In this paper,the dynamic sampling strategy DSI is compared with the traditional periodic sampling strategy and the SOD(Send-On-Delta)sampling strategy,the simulation results show that the dynamic sampling strategy DSI saves the node energy consumption significantly.