WIFI Signal Acauisition And Analysis System Based On Smart Phone

With the rapid development of wireless communication technology,WiFi(Wireless Fidelity)networks have been widely used.In order to meet the high-speed,stable and secure Internet access function,urban home users basically have installed WiFi,which not only avoids wired network cabling,cost,time-consuming and other issues,but also reflects the residential occupancy and WiFi number of the community to a certain extent,and reflects the security and stability of the home WiFi network.At the same time,in the process of user flow,in order to achieve free Internet access,the mobile phone will start the WiFi scanning function and connect to the wireless WiFi network in real time.Thus,it is a hot topic to explore the flow of personnel through the WiFi network.In the prior art and environment,this paper designs a WiFi signal acquisition and analysis system based on smart phone by using wide WiFi networks and smart phones.It aims to analyze the occupancy of urban communities by using WiFi data information,grasp the user's mobile trajectory,and provide reference for social issues such as analyst trajectory,group migration and urban economic development.On this basis,discussing the security level and transmission stability of home WiFi network,and infer the cyber security awareness of home users and the understanding of the practicality of WiFi.At last,the system can be used to analyze the market development trend of Android phones.The main work of this paper is as follows:Firstly,based on the open Android implementation of WiFi connection and the use of source code,data acquisition,uploading,storage and processing are realized,and the functional module integration of the smart phone-based WiFi signal acquisition and analysis system is completed.In the system front-end interface,the human flow trajectory can be supervised in real time,and the data analysis results of the number of WiFi,transmission frequency,encryption method and mobile phone brand are also presented in each function interface.Secondly,using the Android Studio environment,we develop a client APP software for WiFi data collection and uploading,which can obtain latitude and longitude and detailed address information through the high-tech map API interface;and collect WiFi index information scanned by the smartphone,including SSID and signal Intensity,wireless transmission frequency and encryption method;at the same time,the software can also get the mobile phone brand and specific models.Thirdly,by installing the client APP software,the WiFi data of 10 residential communities in Kunming are collected and uploaded.It is found that there is a certain correlation between the occupancy rate of the residential area and the number of WiFi.When the occupancy rate of the community is high,the corresponding number of WiFi is high.There are also differences in WiFi in the different time periods of the same day.The number of WiFi collected at night is significantly higher than that in the morning and afternoon.At the same time,through the analysis of the collected 5000 WiFi index information,the WiFi transmission frequency is mainly 2.4G frequency band,and the 5G frequency band with better stability is only used in a small part.The highest percentage of WiFi encryption and the best security is WPA/WPA2.Finally,by sincerely inviting 120 university volunteers to register and log in to the APP,a rough analysis shows that the current market share of Huawei mobile phones is the highest.