Research On Coverage Control Technology Of Wireless Sensor Network For Precision Agriculture

Precision agriculture is a modern agricultural concept that can increase production,reduce input,maximize agricultural output,rationalize resource utilization,and minimize environmental pollution,thereby achieving the purpose of improving the shortcomings of traditional agriculture.Wireless sensor networks is the core supporting technology for precision agriculture.It has the obvious characteristics of low power consumption,easy expansion,and low cost.It collects the required information through sensor nodes in the network and then transmits it to data processing.The center manages the collected farmland information,so as to achieve the effect of remote precision control.Network coverage is a basic research problem in the research of wireless sensor network technology,which reflects the wireless sensor network’s ability to monitor the physical world,and coverage is one of the important standards for measuring the quality of network coverage.In practical applications,the coverage of the target area should be maximized,as far as possible so that it covers no dead ends.For large-scale and complex farmland,sensor nodes are randomly scattered in the monitoring area.This operation can easily cause uneven distribution of sensor nodes in the monitoring area,which leads to unsatisfactory coverage.Therefore,how to quickly distribute sensor nodes evenly and improve the coverage of the network is particularly important.This thesis deeply studies the coverage of wireless sensor networks.Through redeployment of sensor nodes in the network,it can maximize the coverage of the network.The main work and innovations are as follows:(1)For the coverage of traditional wireless sensor network coverage,the problem of huge calculation amount caused by the dense grid points in the coverage area is usually used.The concept of feature point sets is introduced and combined with the virtual force algorithm.The coverage of point sets is equivalent to analyze the situation of the entire monitoring area.The simulation experiment results show that,compared with the traditional virtual force algorithm using grid points to solve the coverage,the calculation amount and the running time of the algorithm are greatly reduced.(2)In view of the fact that the virtual force algorithm is prone to repeated oscillations due to insufficient constraints in the late stage of the optimized sensor node deployment,it will cause energy loss.Based on the feature point set,the global optimal solution artificial bee colony algorithm is successfully applied to the network Cover the field,and focus on comparing the performance of the standard artificial bee colony algorithm and the artificial bee colony algorithm based on the global optimal solution in network coverage.The results of simulation experiments show that after optimizing the node coverage based on the global optimal solution artificial bee colony algorithm,the coverage rate is effectively improved and the phenomenon of shock is avoided.