Title :
RSSI Based Indoor Localization for Smartphone Using Fixed and Mobile Wireless Node
Author :
Gani, Md Osman ; OBrien, Casey ; Ahamed, S.I. ; Smith, Roger O.
Author_Institution :
Dept. of Math., Stat. & Comput. Sci., Marquette Univ., Milwaukee, WI, USA
Abstract :
Nowadays with the dispersion of wireless networks, smartphones and diverse related services, different localization techniques have been developed. Global Positioning System (GPS) has a high rate of accuracy for outdoor localization but the signal is not available inside of buildings. Also other existing methods for indoor localization have low accuracy. In addition, they use fixed infrastructure support. In this paper, we present a novel system for indoor localization, which also works well outside. We have developed a mathematical model for estimating location (distance and direction) of a mobile device using wireless technology. Our experimental results on Smartphones (Android and iOS) show good accuracy (an error less than 2.5 meters). We have also used our developed system in asset tracking and complex activity recognition.
Keywords :
Global Positioning System; mathematical analysis; radio networks; smart phones; Android; GPS; Global Positioning System; RSSI based indoor localization; asset tracking; complex activity recognition; diverse related service; fixed wireless node network; iOS; location estimation; mathematical model; mobile device; mobile wireless node network; outdoor localization; smartphone; Accuracy; Hidden Markov models; IEEE 802.11 Standards; Mathematical model; Real-time systems; Wireless communication; Wireless sensor networks; Indoor; RSSI; Smartphone; Wi-Fi;
Conference_Titel :
Computer Software and Applications Conference (COMPSAC), 2013 IEEE 37th Annual
Conference_Location :
Kyoto
DOI :
10.1109/COMPSAC.2013.18
