Title :
Towards an indoor location system using RF signal strength in IEEE 802.11 networks
Author :
Harder, Adam ; Song, Lanlan ; Wang, Yu
Author_Institution :
Dept. of Software Eng. & Comput. Sci., Auburn Univ., AL, USA
Abstract :
Location is one of the most important contexts used in pervasive computing environments. GPS systems are intensely used to detect the location information; they mainly work in outdoor environment. Applications call for precise, easy-to-build, and easy-to-use indoor location systems. This paper presents our work to implement an indoor location determination system for Microsoft-Windows-based platforms using a preexisting IEEE 802.11 wireless network. The location is determined from radio signal strength information collected from multiple base stations at different physical locations. Our experiments show a high accuracy rate of this approach.
Keywords :
Global Positioning System; IEEE standards; indoor radio; mobile computing; wireless LAN; GPS systems; IEEE 802.11 wireless network; Microsoft-Windows-based platforms; RF signal strength; indoor location system; location determination system; multiple base stations; pervasive computing environment; radio signal strength information; training data; ubiquitous computing; Base stations; Context; Global Positioning System; Hardware; Infrared detectors; Intelligent networks; Pervasive computing; Radio frequency; Wireless networks; Wireless sensor networks;
Conference_Titel :
Information Technology: Coding and Computing, 2005. ITCC 2005. International Conference on
Print_ISBN :
0-7695-2315-3
DOI :
10.1109/ITCC.2005.278
