Design And Implementation Of Intelligent Home System Based On ZigBee Wireless Sensor Network

The modern home has solved the most basic living problem well,but how to make the home more information and modernization has also become the focus that people pay more attention to day by day.With the rapid development of information technology,Improving the intelligent level of family life and modern life style is the trend of future development.This paper analyzes the development of smart home at home and abroad,combined with ZigBee wireless sensor network,A kind of intelligent home system is designed by gateway technology and remote control APP of mobile phone terminal.The system mainly adopts embedded and wireless network technology to realize temperature detection,humidity detection,gas detection,human body infrared detection.The functions of switch light control and mobile phone remote control have the advantages of rich functions and low cost.Firstly,the advantages of ZigBee technology are analyzed.Then the design of the hardware and software of the system is described in detail.The S3C2440 A processor is used as the core of the gateway equipment.Core components to improve the stability of the system ZigBee wireless network transceiver module using CC2530 chip to achieve terminal data transmission and reception.Software design mainly includes the development of hardware application layer based on Z-stack protocol stack and mobile phone APP development.The development of application layer includes the construction of ZigBee network and the data acquisition of ZigBee terminal.The mobile phone client App is developed by using Eclipse and Android SDK development tools,and the function of voice control light switch is realized through iFLYTEK speech recognition SDK.In the environment of smart home,it is often necessary to set up more sensor nodes.When a sensor node fails,the user needs to know the location of the sensor accurately.In this paper,the location algorithm of the original ZigBee technology is improved.This paper proposes a localization algorithm based on threshold segmentation,which compares the distance between target node and reference node and threshold distance to determine whether to use RSSI or DV-Hop localization algorithm.To improve the accuracy of positioning.Finally,in the MATLAB softwareThe point model generated by random function is used to simulate the algorithm,and it is verified that the accuracy of the improved algorithm is higher than that of RSSI and DV-Hop.