Abstract
A 2D location detection system is constructed by using Wireless Sensor Nodes (WSN) to create aVirtual Fingerprint map, specifically designed for use in an indoor environment. WSN technologies and programmable ZigBee wireless network protocols are employed. This system is based on radio-location fingerprinting technique. Both Linear taper functions and exponential taper functions are utilized with the received signal strength distributions between the fingerprint nodes to generate virtual fingerprint maps. Thus, areal and virtual combined fingerprint map is generated across the test area. K-nearest neighborhood algorithm has been implemented on virtual fingerprint maps, in conjunction with weight functions used to find the coordinates of the unknown objects. The system Localization accuracies of less than a grid space areproved in calculations.
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