Wireless sensor network temperature monitoring method based on improved Kriging algorithm

Abstract

The invention discloses a wireless sensor network temperature monitoring method based on an improved Kriging algorithm. The wireless sensor network temperature monitoring method comprises the steps of: firstly, establishing a layer cluster type wireless sensor network topological structure, analyzing historical temperature data of a target region, setting a threshold value rho and a fusion cycle T, performing periodic fusion on in-cluster node data at a cluster head node based on the threshold value rho, acquiring initial temperature data, transmitting the initial temperature data to a monitoring host by means of a wireless link and saving the initial temperature data in a local database; importing the initial temperature data, and performing variable structure analysis on the initial temperature data to generate a variation function expression; and optimizing a variation function model by utilizing an improved Nelder-Mead simplex method, designing a regular grid terrain, performing temperature interpolation by adopting an ordinary Kriging algorithm, carrying out error correction, and outputting a regular grid temperature field pattern. The wireless sensor network temperature monitoring method optimizes the variation function model by utilizing the improved Nelder-Mead simplex method, corrects weights of the ordinary Kriging algorithm, performs error compensation on the interpolation result, and makes the interpolation result more scientific and closer to the actual situation.

Description

technical field [0001] The present invention relates to a temperature monitoring method based on wireless sensor network (Wireless Sensor Networks, WSNs) technology, in particular to a temperature monitoring method of wireless sensor network based on improved kriging algorithm. Background technique [0002] Temperature data is very important information in daily life, industrial and agricultural production, and scientific research, especially in environments such as grain depots, greenhouses, and forests, where temperature monitoring and control is more important. Wireless sensor network is one of the commonly used monitoring technologies. It overcomes the shortcomings of traditional monitoring methods such as single method, poor timeliness and flexibility. However, due to the limitation of the deployment density of sensor nodes, the accuracy of the temperature field map generated by the monitoring system based on limited sampling point data is poor, which cannot meet some ...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the defects that the accuracy of the temperature field generated by the monitoring of the existing wireless sensor network is not high enough, and the network survival time is relatively short

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