Research On Node Life Extension Algorithm Based On LoRa Technology

In the research topic of wireless sensor networks,the research on the method of node life extension has always been a hot issue.Wireless sensor network nodes are often deployed in long-term unattended target monitoring areas to collect data information.Generally,they are powered by disposable dry batteries,and the life of nodes is severely restricted.In recent years,the new LoRa technology with low power consumption,long distance and other characteristics has provided strong support for the research of prolonging the node life in the level of wireless communication technology.Based on LoRa wireless communication technology,this paper first analyzes the LoRa network architecture,and locates the research on extending the life of nodes to the research of single nodes.Then,this paper analyzes the power consumption of the node,and points out that the wireless communication module is generally the most energy-consuming in each module of the node.Finally,this paper proposes a method of prolonging node life based on Kalman filter.On the premise of ensuring the data transmission performance of nodes,the method uses Kalman filter to predict and judge the system state in a single node to reduce the redundancy of data,reduce the communication times of nodes,and further reduce the power consumption.In order to verify the effectiveness of the method,this paper designs a wireless soil humidity monitoring system based on LoRa communication,and uses the system as the testing platform of the method.Through a large number of experiments on the test platform and analysis of experimental data,this paper verifies the effectiveness of the method from three aspects: average transmission frequency,battery voltage and mean square error.