naa a22 4500 510795439 CHVBK 20180411083334.0 cr unu---uuuuu 180411e20130301xx s 000 0 eng 10.1007/s11277-012-0607-5 doi (NATIONALLICENCE)springer-10.1007/s11277-012-0607-5 A Hierarchical Signal-Space Partitioning Technique for Indoor Positioning with WLAN to Support Location-Awareness in Mobile Map Services [Elektronische Daten] [Mohammad Vahidnia, Mohammad Malek, Nazila Mohammadi, Ali Alesheikh] The precise and accurate performance of location estimation is a vital component of context-aware applications. Numerous mobile devices with built-in IEEE 802.11 Wi-Fi technology can be used to estimate a user's location through a wireless local area network (WLAN) in indoor environments in which fixed access points are deployed. This study deals with improving the common techniques of such positioning once the acquisition of the fingerprint database in offline phase is performed. The main idea is to propose a methodology that includes two layers of classification: a concurrent hierarchical partitioning of both signal and physical space in a way that signal patterns in each part of building have the highest similarity, and a precise and independent positioning in a given part. A procedure for combining the proposed classifier with either artificial neural network (ANN) or Bayesian probabilistic model is then introduced. We also consider an alternative strategy for ANN learning by including all raw observations. The average distance error was successfully reduced in the proposed methodology by 32 % compared to the simple approach. We concluded that the physical partitioning should also consider the signal behavior. Toosi location-aware mobile system was ultimately implemented, providing different services (e.g., friend finder and nearest point of interest) based on the proposed technique via WLAN. The system benefits from the high level of interaction provided by Asynchronous JavaScript and XML (AJAX) technology. It is capable of transferring locational data and GIS map services efficiently to the mobile terminal. Springer Science+Business Media, LLC., 2012 Location fingerprinting nationallicence Artificial neural network nationallicence Bayesian probabilistic model nationallicence Support vector machine nationallicence Location-aware mobile service nationallicence Geographic information system nationallicence Vahidnia Mohammad Department of Geospatial Information System, Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, No. 1346, Mirdamad Cross, Valiasr Street, 19967-15433, Tehran, Iran aut Malek Mohammad Department of Geospatial Information System, Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, No. 1346, Mirdamad Cross, Valiasr Street, 19967-15433, Tehran, Iran aut Mohammadi Nazila Department of Geospatial Information System, Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, No. 1346, Mirdamad Cross, Valiasr Street, 19967-15433, Tehran, Iran aut Alesheikh Ali Department of Geospatial Information System, Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, No. 1346, Mirdamad Cross, Valiasr Street, 19967-15433, Tehran, Iran aut Wireless Personal Communications Springer US; http://www.springer-ny.com 69/2(2013-03-01), 689-719 0929-6212 69:2<689 2013 69 11277 https://doi.org/10.1007/s11277-012-0607-5 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11277-012-0607-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Vahidnia Mohammad Department of Geospatial Information System, Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, No. 1346, Mirdamad Cross, Valiasr Street, 19967-15433, Tehran, Iran aut NATIONALLICENCE 700 1- Malek Mohammad Department of Geospatial Information System, Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, No. 1346, Mirdamad Cross, Valiasr Street, 19967-15433, Tehran, Iran aut NATIONALLICENCE 700 1- Mohammadi Nazila Department of Geospatial Information System, Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, No. 1346, Mirdamad Cross, Valiasr Street, 19967-15433, Tehran, Iran aut NATIONALLICENCE 700 1- Alesheikh Ali Department of Geospatial Information System, Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, No. 1346, Mirdamad Cross, Valiasr Street, 19967-15433, Tehran, Iran aut NATIONALLICENCE 773 0- Wireless Personal Communications Springer US; http://www.springer-ny.com 69/2(2013-03-01), 689-719 0929-6212 69:2<689 2013 69 11277 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer