A 2D Indoor Positioning System Based on a Wireless Sensor Network Technology for Power Adjustable Solutions

In this paper development of a 2D indoor positioning system based on a wireless sensor network (WSN) technology (Zig BeePro protocol) to use for transmission power adjustable solutions is described. This work implemented real-time system with different positioning methods and algorithms: triangulation, fingerprinting, fingerprinting with K weighted nearest neighbor algorithm. There was also implemented median filter to make the raw data smoother. The important point in this study is to compare different methods for different physical areas. Experimental results in real environment showed the difference in accuracy for different methods for different areas. With the software it is possible to configure positioning system by changing weights for different nodes in K weighted nearest neighbor algorithm. The software developed for the coordinates estimation can help determination of the points in the real area with 0 m accuracy where it is possible to set up special control devices and guarantee location of the mobile device and where it is also possible to adjust transmission power after defining the position of the mobile device.