The Study Of Agricultural Sensor Network Based On ZigBee And Soil Moisture Model

With the rise and development of the concept of Internet of things, the technology of Internet of things quickly permeates to each human field of production and life. Among them, the agricultural Internet of things represents the cutting-edge development of modern agricultural technology, which is known as one of the most important developing direction of the future Internet of things. The wireless sensor network (WSN) is one of the most important supporting technology and implementation method of Internet of things. Therefore, the practice and research on agricultural wireless sensor network have practical significance on the popularization of agricultural Internet of things and the realization of "precision agriculture". ZigBee technology is a kind of standardized wireless network scheme for wireless automatic control of low rate, low power consumption and low cost, which has been widely recognized and applied. And it is one of the important methods to build wireless sensor network. However, the existing agricultural wireless sensor network still has the problems of high network power consumption and high costs of sensors, which seriously restrict the development of agricultural Internet of things.First of all, in view of the problem of high power consumption in agricultural wireless sensor network, a power optimization algorithm which is used to optimize the power consumption of end-device node and a low power consumption routing algorithm which can greatly prolong the working hours of router nodes in ZigBee network are put forward. The proposed algorithms in this paper are implemented on Z-Stack. Tests show that the proposed algorithms can effectively save the power consumption in the network and prolong the lifetime of network.Secondly, in view of the problem of high cost in agricultural wireless sensor network, soil moisture sensing technology is mainly studied. Two soil moisture calibration models with soil resistance sensor based on multiple linear regression and BP neural network are proposed and established. Tests show that in this way, the low-cost soil resistance sensor can be used for the measurement of soil moisture if the type of test soil is the same as the type of soil used for calibration.Then, a further study is followed. Given the characteristics of small changes of soil temperature in a day, combined with the law of the soil thermal motion, a classification model of soil moisture based on Support Vector Machine (SVM) is put forward in this paper. According to the model, judgment on soil moisture can be made without soil moisture sensor in agricultural sensor nodes by way of rough classification.Last but not least, a solution for agricultural wireless sensor network based on ZigBee technology is designed and implemented in this paper based on the study above, which is of low power consumption and of low cost. The solution can be used in the real-time collection of agricultural data in practical environment. The solution is a kind of beneficial exploration and experiment to use modern communication technology and sensor technology on the development and transformation of modern agriculture.