Noise recognition of industrial wireless sensor networks based on fuzzy controller

Author

Feng, Liu ; Jinwu, Xu ; Jianhong, Yang ; Min, Li

Author_Institution

Sch. of Mech. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China

Volume

1

fYear

2010

fDate

18-19 Oct. 2010

Abstract

The wireless sensor networks is confronted with a harsh electromagnetic environment applied to monitor industrial equipments. The communication mode should be optimized considering different noise, and it is of great significance to recognize the type of noises. The quantitative analysis of RF noises induced by electric discharge spark was carried out compared with the co-channel interference, which is verified with actual measurements. Furthermore, a method for noise recognition was put forward based on fuzzy controlling technology. Experiment results show that the method is effective and accurate.

Keywords

cochannel interference; discharges (electric); electromagnetic interference; fuzzy control; industrial control; interference suppression; pattern recognition; radiofrequency interference; sparks; wireless sensor networks; RF noise; cochannel interference; electric discharge spark; electromagnetic environment; fuzzy controller; industrial equipment; industrial wireless sensor network; noise recognition; Magnetic analysis; Monitoring; Noise measurement; Wireless sensor networks; co-channel interference; electric discharge spark; fuzzy controlling; wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Networking and Automation (ICINA), 2010 International Conference on

Conference_Location

Kunming

Print_ISBN

978-1-4244-8104-0

Electronic_ISBN

978-1-4244-8106-4

Type

conf

DOI

10.1109/ICINA.2010.5636518

Filename

5636518