Development of Indoor Positioning System using Wireless Lan
There has been equipped wireless network infrastructure making possible to contact mobile computing at buildings, university, airport etc. Due to increase of mobile user dramatically, it raises interest about application and importance of LBS. The purpose of this paper is to develop a monitoring system which is tracking position of users using Wireless LAN signal strength. We present Euclidean distance method and Bayesian inference method for analyzing position determination. The experimental results showed that the positioning of Bayesian inference method is more accurate than that of Euclidean distance method. In case of static target, the positioning accuracy of Bayesian inference method increases when the number of tracking points increase. However, the positioning accuracy of Bayesian inference method increases up to 5 tracking points. Beyond 5 tracking points, the positioning accuracy of Bayesian inference method decreases, which could not be cleared yet.
Jun-Ku Park Jin-Young Lee Cho Woosug
Department of Geoinformatic Engineering, Inha University, 253 Yonghyun-dong, Nam-gu,Incheon 402-751, Department of Civil Engineering, Inha University, 253 Yonghyun-dong, Nam-gu,Incheon 402-751, Korea
国际会议
重庆
英文
349-354
2007-04-24（万方平台首次上网日期，不代表论文的发表时间）