Research On Node Location Technology Of Wireless Sensor Network For Precision Irrigation

In recent years,with the research and development of wireless sensor network technology,as well as the continuous promotion of China’s agricultural modernization process,more and more research scholars use wireless sensor networks and other information technology combined with agricultural technology to achieve the purpose of saving resources and reducing costs while ensuring the yield and quality of crops.One of the most important technologies in wireless sensor networks is the sensor node positioning technology.Determining the location information of sensor modules is one of the key aspects in the process of sensing and measuring environmental data.This paper investigates the positioning technology in precision agricultural irrigation and the main work is as follows:(1)The paper details the hyperbolic localization mathematical model of TDOA(Time Difference of Arrival)localization system and the application process of improved Immune Particle Swarm algorithm in TDOA localization.An improved Adaptive Immune Particle Swarm Optimized TDOA(IAIPSO-TDOA)localization algorithm is proposed for the nonlinearity problem in passive localization estimation of TDOA nodes in wireless sensor networks,which is based on the adaptive particle swarm The algorithm is based on the adaptive particle swarm algorithm,which introduces an immune process to increase the population diversity of particles,balances the local search capability and the global search capability,effectively solves the problem that the particles are prone to fall into the local optimum,and enables the particles to converge to the global optimum solution more quickly.Simulation results show that when the number of base stations is only 4-5 and the radius reaches 100 m,the proposed IAIPSO-TDOA algorithm still has higher localization accuracy than the standard particle swarm algorithm,adaptive particle swarm algorithm and TDOA algorithm;and when random noise is added,IAIPSO-TDOA has more stable performance and better robustness compared with other algorithms.(2)To improve the wireless sensor network architecture in agricultural irrigation areas,the node deployment strategy scheme of Zhao Yue et al.was combined with the node deployment scheme designed by Yao Yi et al.for the irrigation area network architecture,the advantages and disadvantages of various node deployment methods were analyzed and discussed,and the applicability conditions of various deployment methods were compared finally the positive hexagonal node deployment method was selected to improve the agricultural irrigation network architecture,and a threshold value was set on the node spacing in order to make its anchor node rule deployment as well as the uniform distribution of unknown nodes to avoid the emergence of positioning blind areas.(3)Finally,the optimized localization algorithm is applied to the improved irrigation network,and the simulation results show that the localization accuracy is improved compared with that before the improvement.The performance of the algorithm before and after the improvement is discussed,mainly in terms of the average positioning accuracy of nodes and the density of anchor nodes.The simulation results show that the improved algorithm has improved the positioning accuracy and avoided the blind areas and isolated nodes,thus reducing the duplication and missing data collection.Through the above technical research and experimental analysis,the improved positioning algorithm in this paper can be applied in agriculture in a targeted manner and has a certain contribution in improving the accuracy of agricultural irrigation and modernizing agriculture.