Application Of Wireless Sensor Positioning Technology In Soil Environmental Monitoring

Effective soil environmental monitoring is not only of great significance to social production activities,but also plays an important role in the protection of the ecological environment.Evaluate various existing soil monitoring methods and consider the needs of soil environment monitoring in terms of information and integration.Preset the research background of collecting soil monitoring data based on wireless sensor network and completing soil index early warning,and carry out research on models and methods to achieve accurate positioning of sensor nodes in large-scale deployment scenarios.The classical wireless sensor network node positioning model is analyzed,and the corresponding improvement strategy is proposed to improve the positioning accuracy.Develop a visual prototype simulation system,encapsulate node positioning algorithm,and simulate the soil environment monitoring scene to improve the accuracy and real-time of soil monitoring.The main problem to be solved is how to accurately obtain the location information of sensor nodes in a complex outdoor environment.For this problem,the main work is as follows:(1)Learn about the development history of soil monitoring,the current environmental problems,the main methods of soil monitoring and the future development trend by consulting a large number of documents,current affairs news,newspapers,books and other materials.The existing localization algorithm of wireless sensor network node is studied and analyzed.According to the application scenario,the DV Hop model without range measurement is selected as the basic localization model of soil monitoring system.In the research process,the main factors that affect the positioning accuracy are analyzed,and simulation experiments are carried out in different scenes.(2)Based on the traditional DV Hop location model,the shortest similar path matching algorithm is proposed to improve the range estimation phase to obtain relatively accurate distance location conditions;In the node position acquisition stage,the min max algorithm is used to estimate the initial position of the unknown node,and then the sine cosine optimization algorithm is used to optimize the initial coordinates obtained.In the optimization process,the distance and position coordinates are synchronized as unknown variables for iterative optimization,so as to reduce the error caused by distance estimation and ultimately improve the positioning accuracy of the unknown node.The validity of the improved algorithm is verified by programming in Python language.(3)A soil monitoring simulation system based on wireless sensor network positioning technology is designed and implemented.The system can intuitively observe the deployment status,location information and soil parameter information of nodes,and can give early warning to nodes with abnormal parameters,as well as analyze and process the information collected by sensors.According to the experimental results,the proposed positioning improvement strategy can obtain relatively high node positioning accuracy,enhance the effectiveness of soil environment monitoring based on wireless sensor networks,and has considerable research significance and practical value for realizing information and integration of soil monitoring.