A Fuzzy Control Theory and Neural Network Based Sensor Network Control System

被引：2

作者：

Wang, Anqi ^{[1
]}

Liu, Jin ^{[1
]}

Wang, Xiaofeng ^{[1
]}

Wang, Jin ^{[2
]}

机构：

[1] Shanghai Maritime Univ, Coll Informat Engn, Shanghai, Peoples R China

[2] Nanjing Univ Info Sci & Tech, Jiangsu Engn Ctr Network Monitoring, Nanjing, Jiangsu, Peoples R China

来源：

2014 TENTH INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING (IIH-MSP 2014) | 2014年

关键词：

Wireless Sensor Network; Neural Network; Fuzzy Control;

D O I：

10.1109/IIH-MSP.2014.210

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：831 / 834

页数：4

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