LANDMARC: Indoor Location Sensing Using Active RFID
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
An Introduction to RFID Technology
IEEE Pervasive Computing
Spatial Node Distribution of the Random Waypoint Mobility Model with Applications
IEEE Transactions on Mobile Computing
Survey of Wireless Indoor Positioning Techniques and Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
L-VIRT: Range-free 3-D localization of RFID tags based on topological constraints
Computer Communications
| Hi-index | 0.00 |
RFID is an automatic identification technology that enables tracking of people and objects. This research focuses on improving context-awareness by associating locations to identities. We propose L-VIRT, an extension of our 3-D range-free localization method for RFID tags [1] that uses additional mobile readers to refine its accuracy. Topological constraints are deduced from connectivity information and combined with virtual landmarks to localize tags. Mobile tags are localized with the static reader infrastructure while the localization of static tags is enhanced with mobile readers. Simulation results show a fine-grained accuracy when readers are densely deployed and an impressive error reduction when few mobile readers are involved.