Indoor positioning system using Wi-Fi & Bluetooth Low Energy technology

In the era of wireless communication, almost every other person uses a smartphone not only for traditional calling, but for multiple services. Wi-Fi based services have been on rise, and Wi-Fi signals are omnipresent nowadays. Exploiting the feature of Wi-Fi signal detection from android smartphones, we built an app for user positioning in indoor environment. For testing purposes, we use pre-installed Wi-Fi access points and Beacon devices based on Bluetooth Low Energy (BLE) technology in our department for indoor positioning at the department. Using the classical RSSI based trilateration algorithm, we improved upon the location estimation using gradient descent over error function. We then analyze the results of location estimation with actual measurement of distances.

[1]  Eyal de Lara,et al.  Accurate GSM Indoor Localization , 2005, UbiComp.

[2]  Rosdiadee Nordin,et al.  Recent Advances in Wireless Indoor Localization Techniques and System , 2013, J. Comput. Networks Commun..

[3]  Suhailan Safie,et al.  User Position Detection In An Indoor Environment , 2013, MUE 2013.

[4]  Mohammed Abdul Qadeer,et al.  GPS Locator: An Application for Location Tracking and Sharing Using GPS for Java Enabled Handhelds , 2011, 2011 International Conference on Computational Intelligence and Communication Networks.

[5]  Kevin Curran,et al.  An evaluation of indoor location determination technologies , 2011, J. Locat. Based Serv..

[6]  Ankur Chandra,et al.  Implementation of location awareness and sharing system based on GPS and GPRS using J2ME, PHP and MYSQL , 2011, 2011 3rd International Conference on Computer Research and Development.

[7]  Mohammed Abdul Qadeer,et al.  Interference evaluation and MS controlled handoff technique for femtocell , 2009, 2009 First Asian Himalayas International Conference on Internet.

[8]  Eric Castelli,et al.  Home Appliance Control System based on Robust Indoor User Localizationusing Wifi Signals , 2016 .

[9]  P. Varaiya,et al.  Hybrid algorithm for indoor positioning using wireless LAN , 2004, IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004.

[10]  Zoubir Irahhauten,et al.  Analysis of a UWB Indoor Positioning System Based on Received Signal Strength , 2007, 2007 4th Workshop on Positioning, Navigation and Communication.

[11]  Joel Barnes,et al.  Hybrid Method for Localization Using WLAN , 2005 .

[12]  Roberto Tamassia,et al.  Algorithms for Location Estimation Based on RSSI Sampling , 2008, ALGOSENSORS.

[13]  Hisashi Kobayashi,et al.  On relation among time delay and signal strength based geolocation methods , 2003, GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489).

[14]  R.L. Moses,et al.  Locating the nodes: cooperative localization in wireless sensor networks , 2005, IEEE Signal Processing Magazine.

[15]  Sandeep Kumar,et al.  Convergence of LBS and AI , 2012 .

[16]  Panos K. Chrysanthis,et al.  On indoor position location with wireless LANs , 2002, The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

[17]  Yunhao Liu,et al.  WILL: Wireless indoor localization without site survey , 2012, 2012 Proceedings IEEE INFOCOM.