Flexible RFID location system based on artificial neural networks for medical care facilities

Author:

Wu Hao-Ju1,Chang Yi-Hsin1,Hwang Min-Shiang1,Lin Iuon-Chang1

Affiliation:

1. National Chung Hsing University, Taichung, Taiwan

Abstract

RFID location systems are often used in real-time location systems that come up with the problems like multipath phenomenon and layout changing. These make locating difficult because most of the location systems are based on fixed mathematical calculation that cannot take these situations into account. Using artificial neural network, our location scheme can learn the geography features to adapt to the real world. It could avoid multipath phenomenon effect and be flexibly applied to any environment. The experimental processes and result are shown in the end of the paper.

Publisher

Association for Computing Machinery (ACM)

Subject

Engineering (miscellaneous),Computer Science (miscellaneous)

Reference6 articles.

1. }}Aman Bhatia "Analysis of Different Localization Techniques in Indoor Location Sensing using Passive RFID " Term Report of Department of Electrical Engineering IIT Kanpur 2007. }}Aman Bhatia "Analysis of Different Localization Techniques in Indoor Location Sensing using Passive RFID " Term Report of Department of Electrical Engineering IIT Kanpur 2007.

2. }}A. H. Sayed A. Tarighat and N. Khajehnouri "Network-based wireless location: challenges faced in developing techniques for accurate wireless location information " IEEE Signal Processing Magazine vol. 22 no. 4 2005. }}A. H. Sayed A. Tarighat and N. Khajehnouri "Network-based wireless location: challenges faced in developing techniques for accurate wireless location information " IEEE Signal Processing Magazine vol. 22 no. 4 2005.

3. LANDMARC: Indoor Location Sensing Using Active RFID

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