Wi-Fi Localization Using RSSI Fingerprinting

Abstract

Wireless Local Area Networks using Wi-Fi is becoming more and more ubiquitous. As such, they provide a potential pre-built infrastructure for small area localization. This project serves as a proof of concept for a playground child tracking system to be deployed at Cal Poly's Child Development Playground Lab. The two main options for doing Wi-Fi localization are triangulation and fingerprinting. Triangulation involves mapping signal strength as a function of distance while fingerprinting creates a probability distribution of signal strengths at a given location and uses a map of these distributions to predict a location given signal strength samples. The triangulation method did not show promising results and the fingerprinting method had promising results with various ways of making predictions.