Indoor Positioning with Virtual Fingerprint Mapping by Using Linear and Exponential Taper Functions

Author

Koyuncu, Hakan ; Shuang Hua Yang

Author_Institution

Comput. Sci. Dept., Loughborough Univ., Loughborough, UK

fYear

2013

fDate

13-16 Oct. 2013

Firstpage

1052

Lastpage

1057

Abstract

A 2D localization system is constructed by using Wireless Sensor Nodes (WSN) to create a Virtual Fingerprint map. Linear and exponential taper functions are utilized with the received signal strength distributions between the fingerprint nodes to generate virtual fingerprint maps. Thus, a real and virtual combined fingerprint map is generated across the test area. k-NN and k-NN weighted algorithms have been implemented on virtual fingerprint maps to find the coordinates of the unknown objects. The system Localization accuracies of less than a grid space are obtained in calculations.

Keywords

data handling; indoor radio; learning (artificial intelligence); radionavigation; telecommunication computing; wireless sensor networks; 2D localization system; WSN; exponential taper functions; grid space; indoor positioning; k-NN weighted algorithms; linear taper functions; received signal strength distributions; virtual fingerprint mapping; wireless sensor nodes; Databases; Fingerprint recognition; Interpolation; Receivers; Transmitters; Wireless communication; Wireless sensor networks; (LQI); Link Quality Indicator; Received signal strength (RSS); Wireless sensors node (WSN); fingerprint; k-NN algorithm; virtual node (VN); weight function;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on

Conference_Location

Manchester

Type

conf

DOI

10.1109/SMC.2013.183

Filename

6721936