Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Sensor-assisted wi-fi indoor location system for adapting to environmental dynamics

Sensor-assisted wi-fi indoor location system for adapting to environmental dynamics Sensor-Assisted Wi-Fi Indoor Location System for Adapting to Environmental Dynamics Yi-Chao Chena, Ji-Rung Chianga, Hao-hua Chua,b, Polly Huangb,c, and Arvin Wen Tsuid Department of Computer Science and Information Engineeringa Graduate Institute of Networking and Multimediab Department of Electrical Engineeringc National Taiwan University Industrial Technology Research Instituted {b89066, r93102, hchu}@csie.ntu.edu.tw, phuang@cc.ee.ntu.edu.tw, arvin@itri.org.tw ABSTRACT Wi-Fi based indoor location systems have been shown to be both cost-effective and accurate, since they can attain meter-level positioning accuracy by using existing Wi-Fi infrastructure in the environment. However, two major technical challenges persist for current Wi-Fi based location systems, instability in positioning accuracy due to changing environmental dynamics, and the need for manual offline calibration during site survey. To address these two challenges, three environmental factors (people, doors, and humidity) that can interfere with radio signals and cause positioning inaccuracy are identified. Then, we have proposed a sensor-assisted adaptation method that employs RFID sensors and environment sensors to adapt the location systems automatically to the changing environmental dynamics. The proposed adaptation method performs online calibration to build multiple contextaware radio maps under various environmental conditions. Experiments were performed on the sensor-assisted adaptation method. The experimental results show that the proposed adaptive method can avoid http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Sensor-assisted wi-fi indoor location system for adapting to environmental dynamics

Association for Computing Machinery — Oct 10, 2005

Loading next page...
/lp/association-for-computing-machinery/sensor-assisted-wi-fi-indoor-location-system-for-adapting-to-0juIgy1efy

References

References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.

Datasource
Association for Computing Machinery
Copyright
Copyright © 2005 by ACM Inc.
ISBN
1-59593-188-0
doi
10.1145/1089444.1089466
Publisher site
See Article on Publisher Site

Abstract

Sensor-Assisted Wi-Fi Indoor Location System for Adapting to Environmental Dynamics Yi-Chao Chena, Ji-Rung Chianga, Hao-hua Chua,b, Polly Huangb,c, and Arvin Wen Tsuid Department of Computer Science and Information Engineeringa Graduate Institute of Networking and Multimediab Department of Electrical Engineeringc National Taiwan University Industrial Technology Research Instituted {b89066, r93102, hchu}@csie.ntu.edu.tw, phuang@cc.ee.ntu.edu.tw, arvin@itri.org.tw ABSTRACT Wi-Fi based indoor location systems have been shown to be both cost-effective and accurate, since they can attain meter-level positioning accuracy by using existing Wi-Fi infrastructure in the environment. However, two major technical challenges persist for current Wi-Fi based location systems, instability in positioning accuracy due to changing environmental dynamics, and the need for manual offline calibration during site survey. To address these two challenges, three environmental factors (people, doors, and humidity) that can interfere with radio signals and cause positioning inaccuracy are identified. Then, we have proposed a sensor-assisted adaptation method that employs RFID sensors and environment sensors to adapt the location systems automatically to the changing environmental dynamics. The proposed adaptation method performs online calibration to build multiple contextaware radio maps under various environmental conditions. Experiments were performed on the sensor-assisted adaptation method. The experimental results show that the proposed adaptive method can avoid

There are no references for this article.