Access Point Selection for WLAN Indoor Localization Systems Using RF Walk Test Data
Location fingerprinting utilizes periodic beacons transmitted by Wireless Local Area Network(WLAN)Access Points(APs)to provide localization in indoor environments.Currently there is lack of methods to quantify the amount of localization information provided by individual APs.Such a metric would enable the optimal placement of new APs as well as filtering out excess APs so as to reduce the resources consumed by indoor localization software in client devices.This paper proposes LocationInfo,a metric that utilizes walk test data for quantifying the localization efficacy of APs.Simulation based studies shows that LocationInfo is able to accurately select APs with high localization information.
C.Sapumohotti M.Y.Alias S.W.Tan
Multimedia University,Malaysia
国际会议
Progress in Electromagnetics Research Symposium 2013(2013年电磁学研究新进展学术研讨会)
台北
英文
199-202
2013-03-01(万方平台首次上网日期,不代表论文的发表时间)