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.
Full Text
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call