The Application of Multiple Wireless Sensor Data Fusion Algorithm in Temperature Monitoring System
Abstract— In order to increase accuracy of temperature monitoring system in greenhouse, this paper proposed a system based on multi-wireless sensor data fusion algorithm. Firstly, the algorithm based on Dixon criterion eliminated a gross error data, which acquired by the wireless control terminal. Then calculated the arithmetic mean and sent it to the coordinator node, finally, the adaptive weighted fusion algorithm was used to conduct the greenhouse temperature and get the accurate greenhouse temperature. Through the experiments showed: compared with traditional method of average mean, this data fusion algorithm improved the sensor measurement accuracy, had smaller error and improved the system stability.
Index Terms— wireless sensor; data fusion; adaptive weighted
Yongliang Wang, Huimin Lv
Tianjin University of Technology and Education, Tianjin Key Laboratory of Information Sensing & Intelligent Control, CHINA
Sanshui District Industrial Secondary School in Foshan City, Guangdong Province, CHINA
Hangzhou Xiaoshan Technician College, CHINA
Cite: Yongliang Wang, Hongdou Chen, Qi Zhang, Huimin Lv, "The Application of Multiple Wireless Sensor Data Fusion Algorithm in Temperature Monitoring System," Proceedings of 2018 the 8th International Workshop on Computer Science and Engineering, pp. 227-231, Bangkok, 28-30 June, 2018.