RSSI based adaptive indoor location tracker

Abstract

Abstract Due to the impracticality of the Global Navigation Satellite Systems (GNSS) in the indoor locations, Wireless Network based Systems (WNS) are widely used for the indoor location estimation techniques. Compared to various other localization methods, the Received Signal Strength Indicator (RSSI) based techniques are highly appreciated because of their minimal complexity. Thus based on these, a generic application has been developed to track the location of any person in any area, with adequate Access Points (AP’s), by comparing the Received Signal Strength (RSS) at his/her position with the already stored set of RSS from the dataset. To find out the best possible match from a group of possible locations in the dataset, the Root Mean Square Error (RMSE) method has been used, which has less complexity and more accuracy over its alternative methods. The unique features of this application includes the dynamic database which can be conveniently updated whenever needed, live input of any indoor location map through camera and immediate creation of a new dataset, allowing the application to be used by any person in any area.

Keywords

• Global navigation satellite system
• Global positioning system
• Wireless network based
• Received signal strength indicator
• Root mean square error
• Access point