Ruirui Zhang

Key Technologies in Wsn-Based Cotton Field Soilmoisture Monitoring System

To level up the application of wireless sensor network in cotton field soil monitoring, wireless sensor network technology has been studied deeply. Some difficulties, including the design of soil moisture sensor, covering problem in wireless sensor network and diagnosis algorithm for wireless sensor networks and node, are been proposed and discussed. Combined with cotton field soil moisture monitoring application, coverage and deployment based not only on plane space but also on time are been discussed and a fault diagnosis algorithm based on entropy is been put forward in the article.

A WSN Data Aggregation Method with Linear Regression Model

Wireless sensor networks consist of sensor nodes with sensing and communication capabilities, which differ from traditional communication networks in several ways: sensor networks have severe energy constraints, redundant low-rate data, and many-to-one flows. Conduction of data aggregation is required. By the way of extracting reference data set and constructing linear regression mode, a data aggregation algorithm was proposed for WSN which composed of many correlated sensors. Taking a greenhouse air temperature, relative air humidity and soil temperature data sample collected by WSN in a demonstration base as research object, we analyzed performance of the algorithm. Results show that data compression ratio could reach as high as 40.72 % when the RMSE between restored data and raw data are respectively 0.622 °C and 0.853 % for soil temperature and relative air humidity.