Multi-sensors data fusion for precise measurement based on ZigBee WSN via fuzzy control

Author

Sung, Wen-Tsai ; Chen, Chia-Hao ; Chen, Jui-Ho ; Liu, Yu-Feng

Author_Institution

Dept. of Electr. Eng., Nat. Chin-Yi Univ. of Technol., Taiping, Taiwan

Volume

2

fYear

2010

fDate

5-7 May 2010

Firstpage

156

Lastpage

159

Abstract

This paper presents a storehouse boundary warning system based on multi-sensor information fusion technology. This warning system has fire detection multiple sensor data fusion algorithm based on a fuzzy neural network to compute fire emergency probability. According to the network training and self-learning weight adaptation, the error is least between the output and instruction signal. This allows the network to produce the subjective function and extract the fuzzy rule automatically, thereby improving the warning system precision and intelligence. The methodology, system structure, GSM short message, and software system design are discussed.

Keywords

alarm systems; fuzzy control; learning (artificial intelligence); neural nets; sensor fusion; wireless sensor networks; ZigBee WSN; fire detection multiple sensor data fusion algorithm; fire emergency probability; fuzzy control; fuzzy neural network; network training; self-learning weight adaptation; storehouse boundary warning system; Alarm systems; Computer errors; Computer networks; Fires; Fuzzy control; Fuzzy neural networks; Sensor fusion; Sensor systems; Wireless sensor networks; ZigBee; Fuzzy; boundary warning system; information fusion; neural network;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Communication Control and Automation (3CA), 2010 International Symposium on

Conference_Location

Tainan

Print_ISBN

978-1-4244-5565-2

Type

conf

DOI

10.1109/3CA.2010.5533622

Filename

5533622