With the development of technology and the proliferation of mobile computing devices, people's need for pervasive computing is rapidly growing. As a critical part of pervasive computing, Location Based Service (LBS) has drawn more and more attention. Localization techniques that report the real-time position of a moving object are key in this area. So far, the outdoor localization technologies (i.e, GPS) are relatively mature, while the indoor localization technologies are still under improvement. In this paper, we propose a novel WiFi localization method, called FIMO (FInd Me Out). In this method, we take the instability of signal strength and the movement of objects into consideration when determining the location based on Fingerprint. Experimental results show the proposed method is capable of estimating a moving object's location precisely. © 2013 Springer-Verlag.
CITATION STYLE
Zhou, Y., Jin, L., Jin, C., & Zhou, A. (2013). FIMO: A novel WiFi localization method. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7808 LNCS, pp. 437–448). https://doi.org/10.1007/978-3-642-37401-2_44
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