The Novel Performance Evaluation Method of the Fingerprinting-Based Indoor Positioning

Author:

PREMCHAISAWATT Shutchon1,RUANGCHAIJATUPON Nararat1

Affiliation:

1. KhonKaen University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Reference21 articles.

1. [1] H. Liu, H. Darabi, P. Banerjee, and J. Liu, “Survey of wireless indoor positioning techniques and systems,” Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, vol.37, no.6, pp.1067-1080, 2007.

2. [2] R. Mautz, “Overview of current indoor positioning systems,” Geodezija ir kartografija, vol.35, no.1, pp.18-22, 2009.

3. [3] P. Bahl and V.N. Padmanabhan, “Radar: An in-building rf-based user location and tracking system,” INFOCOM 2000. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings. IEEE, pp.775-784, IEEE, 2000.

4. [4] A. LaMarca, Y. Chawathe, S. Consolvo, J. Hightower, I. Smith, J. Scott, T. Sohn, J. Howard, J. Hughes, F. Potter, J. Tabert, P. Powledge, G. Borriello, and B. Schilit, “Place lab: Device positioning using radio beacons in the wild,” Pervasive Comput., vol.3468, pp.116-133, Springer, 2005.

5. [5] T.-N. Lin and P.-C. Lin, “Performance comparison of indoor positioning techniques based on location fingerprinting in wireless networks,” Wireless Networks, Communications and Mobile Computing, 2005 International Conference on, pp.1569-1574, IEEE, 2005.

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