Developing WLAN-Based Intelligent Positioning System for Presence Detection with Limited Sensors

WiFi-Based Positioning Systems (WBPS) play a key role in indoor navigation, but further development of these systems continues to this day. WBPS have been applied to different tasks including mobility tracking and behavior analysis. Mobility tracking allows detecting a user in the environment even if one does not use positioning services. Tracking enables sensing the human presence in different environments, including occupancy detections in smart homes, geofencing, enhanced security and many other scenarios. One of the basic performance criteria of a positioning system is its precision. The general rule states that precision grows with the increase of the number of reference signals used for positioning. However, it is unclear how much information is required to estimate the location of a person reliably. This chapter overviews the current research in the area of Received Signal Strength Indicator (RSSI) based positioning and evaluates a positioning system for localizing a person in an indoor environment, taking into account the number of Access Points (APs) available for estimating the location. We conduct performance analysis of an indoor positioning system based on measurements from a real walk. Additionally, we conduct a simulation, where we analyze the impact of the noise on the positioning quality.