Title :
A Fuzzy Control Theory and Neural Network Based Sensor Network Control System
Author :
Anqi Wang ; Jin Liu ; Xiaofeng Wang ; Jin Wang
Author_Institution :
Coll. of Inf. Eng., Shanghai Maritime Univ., Shanghai, China
Abstract :
This paper presents the background and related researches of the intelligent control theory, introduces the related research about fuzzy control theory and neural network. By exploiting the characteristics fuzzy control and neural network, and combining them to make the control decision, we proposed a novel intelligent control system for a sensor network. The system can predict the sensors´ states at a certain time in future by learning from the historical sensor data and adjust the working state of certain sensors or controllers by using fuzzy control methods.
Keywords :
decision making; intelligent control; neural nets; wireless sensor networks; control decision making; fuzzy control theory; historical sensor data; intelligent control system; intelligent control theory; neural network; sensor network control system; Brightness; Control systems; Fuzzy control; Intelligent control; Lighting; Neural networks; Niobium; Fuzzy Control; Neural Network; Wireless Sensor Network;
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2014 Tenth International Conference on
Conference_Location :
Kitakyushu
Print_ISBN :
978-1-4799-5389-9
DOI :
10.1109/IIH-MSP.2014.210