Every day the location based services are used by millions of people all around the world. GPS is the most common positioning system, determining location through the Earth orbiting satellites. It is not easy to navigate in gigantic malls and large shopping centers, even with a map. As the GPS requires a direct view of the satellites, they are not suitable for indoor positioning. Knowing these facts it is clear why the need for indoor navigation increased, which helped the emergence of devices capable of WiFi communication.
The current signal strength of the access points is used mostly for indoor positioning. One disadvantage of the concept is that there is no sufficiently precise technology that could be used with mobile phones and tablets. In practice, the field strength varies in space and time. Internal positioning in public places has additional requirements. Solutions require the accurate position of access points in time. It is not an easy task, but without it the whole service works incorrectly.
My task was to construct, realize and test a module that can determine the new location of an access point based on values obtained from measuring errors. During my graduation I examined the WiFi-based positioning methods and practices used in WiFi-based indoor positioning applications. I reviewed the factors causing the inaccuracy of model-based positioning. I pointed out some changes to the improvement that may require action to be taken. I also explored the factors which lead to changes in the location of access points.