Android application for WiFi based indoor position: System design and performance analysis

摘要

This study deals with indoor positioning using the Wireless Ethernet IEEE 802.11 (Wi-Fi) standard that has a distinct advantage of low cost over other indoor wireless technologies. The aim of this study is to examine several aspects of location fingerprinting based indoor positioning that affect positioning accuracy. The impacts of human behavior on RSSI distribution are explored and analyzed. Overall, the positioning accuracy achieved in the performed experiments is 2.0 to 2.5 meters. The developed application have been validated in an indoor for future intelligent services.