Improved location estimation method of trilateration in ubiquitous computing indoor environment

Estimating the location of users, Unmanned Aerial Vehicles (UAVs), and devices is the key to provide the diverse kinds of services in ubiquitous computing environments. Given that Global Positioning System (GPS) cannot be utilized in indoor environments, beacon-based and vision-based location estimation approaches are utilized. However, the accuracy of the location does not reaches the demanded amount. This paper propose an indoor location estimation method of beacons based on trilateration. By utilizing three APs and three beacons, the location of one of beacons can be predicted accurately. In the experiment, the proposed method was compared with the traditional trilateration method. Comparing to the result of the traditional trilateration method, the proposed method reduced the distance errors to about 20%.