Noise recognition of industrial wireless sensor networks based on fuzzy controller
Liu Feng, Jinwu Xu, Yang Jianhong, Min Li · 2010
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.