Finding Accurate Location In The Indoor Environment Using The Four APs With WLAN Technology

In order to find the solution for the problem of indoor localization,my thesis report is the research of different models of indoor system,which can decrease the error as well as produce the high performance of accuracy of Wi-Fi positioning system.The main obj ective of my research is to find the best four APs from the total APs which are installed in the room and then find the accurate location of the device using the value of RSS of that APs.Because for the positioning only Global Positioning System(GPS)is working but unfortunately GPS cannot produce the good result in the indoor environment in fact the performance of GPS is so poor in the inside the building so that's why I am working on indoor localization and for this I am using the Back Propagation(BP)Network Algorithm.We can also find the accurate location by using the laser or ultrasound but it's very costly and also require a lot of energy.My thesis has the overview of an existing positioning methods and approaches.My main purpose for writing this thesis is to finding the accurate location of the device in the indoor environment.For this I am using the model of finger print with the database.For the database model of fingerprint,I am considering the value of signal strength.In this thesis I am proposing the algorithm named Back Propagation(BP)network algorithm,with using BP algorithm we are able for finding the positon of user or object with less ratio or error as well as accurate result of position in very fast speed.