Energy-Saving Smart Home Based on ZigBee and Fuzzy Neural Network

In this paper, we present a novel smart home system integrating energy efficiency features. The paper firstly introduces the attempt tried by the power system and researchers for home energy-saving. Secondly the paper compares the performance of three kinds of network, and raised timing sleep, routing node rotation mechanism and data compression for ZigBee to conserve energy. Thirdly introduces three main sensors monitored to conserve energy and presents an experiment to find the optimal light intensity for healthy and sustainable lifestyle. Fourthly combines fuzzy neural network for energy-saving and puts forward the design and learning procedure for home controlling. At last it prospects the future research work about smart home visualized by mixed reality to achieve more ideal control.