Research On Active Sniffing And Localization Algorithms For Campus Wireless Network

With the development of wireless network communication technology,by using open source: OpenWrt platform,considering to the needs that the management departments want to monitor and manage regional mobile WiFi equipment,and the features of the campus wireless WiFi network hardware,this paper make a series of research about active WiFi network location,to ensure enough accuracy of location and effectively prevent the expansion of the error in multistage calculation,and to further reduce the calculation complexity of programming,so that the corresponding computer system can maintain enough capacity of calculation to deal with the campus network collaboratively for more wireless detection nodes.The satisfactory ratio between overall investment and operation efficiency for whole system have been greatly improved compared to similar systems.At the same time,by running on multiple subsystems of operating environment independently,it improves the overall stability of the system and transportability.The main research work and innovations of this this paper are as follows:(1)Under the wireless router OpenWrt system environment,after two development and re-compilation of the open source code of firmware,it realizes the function of connectionless sniffer and sampling data recording for the wireless WiFi network mobile devices.At the same time,the backstage management visual interface on the device increased with function of specified frequency sampling with adjustable parameters in wireless mobile devices network sniffer settings,intensively reduce the overall error of actual measured data.(2)According to the characteristics of campus network this system optimizes algorithm with low computational cost to improve the calculation accuracy of locating the target device.Through the comparison and analysis of the measured data,the final locating error after being calculated by average multiple location data,can be compared with that of the current mainstream location algorithms.(3)The location results display through visual means by PHP web programming with database accessing,and it draws schematic diagram of the target monitoring and management,while using the interactive interface to realize controllable and adjustable overall parameters and sampling time section data.At the same time,it uses the methods of average multiple sampling analysis during specified period of time to further reduce the location error.(4)In a multi-system environment that cross platform,it realizes the program running of divisional labor coordination among subsystems,and analyze the effect of convergence algorithm error according to the measured amounts of data in campus Wi Fi experimental conditions...