Enhancing the efficiency of active RFID-based indoor location systems
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Effect of collision on movement tracking using active RFID power measurement
CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
Analysis of indoor positioning approaches based on active RFID
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Advanced Engineering Informatics
LOVINA: Location-aware Virtual Navigation system based on active RFID
International Journal of Ad Hoc and Ubiquitous Computing
Cryptography and Security
A Review of Tags Anti-collision and Localization Protocols in RFID Networks
Journal of Medical Systems
Engineering Applications of Artificial Intelligence
A Low-Collision CSMA-Based Active RFID for Tracking Applications
Wireless Personal Communications: An International Journal
From RSSI to CSI: Indoor localization via channel response
ACM Computing Surveys (CSUR)
Localization of RFID-equipped assets during the operation phase of facilities
Advanced Engineering Informatics
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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.