By Topic

VIRE: Active RFID-based Localization Using Virtual Reference Elimination

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Yiyang Zhao ; Dept. of Comput. Sci. & Eng., Hong Kong Univ. of Sci. & Technol., Hong Kong ; Yunhao Liu ; Ni, L.M.

RFID technologies are gaining much attention as they are attractive solutions to many application domains. Localization based on active RFID technologies provides a much needed added-value to further expand the application domain. LANDMARC was the first attempt using active RFID for indoor location sensing with satisfactory results. However, the LANDMARC approach suffers from two drawbacks. First, it does not work well in a closed area with severe radio signal multi-path effects. Second, to further improve the localization accuracy, more reference tags are needed which is costly and may trigger the RF interference phenomenon. The proposed VIRE approach can overcome the above drawbacks without additional cost. Based on the concept of virtual reference tags, a proximity map is maintained by each reader. An elimination algorithm is used to eliminate those unlikely locations to reduce the estimation error. Our experimental results show that the new method consistently enhances the precision of indoor localization from 17 to 73 percent over the LANDMARC approach at different tag locations in different environments.

Published in:

Parallel Processing, 2007. ICPP 2007. International Conference on

Date of Conference:

10-14 Sept. 2007