L-VIRT: Range-free 3-D localization of RFID tags based on topological constraints
Computer Communications
RFID-based seamless multimedia services for smart homes
International Journal of Internet Protocol Technology
A novel radio propagation radiation model for location of the capsule in GI tract
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Simulation-based analysis for a heterogeneous indoor localization scheme
CCNC'10 Proceedings of the 7th IEEE conference on Consumer communications and networking conference
Object localization using RFID
ISWPC'10 Proceedings of the 5th IEEE international conference on Wireless pervasive computing
RFID-assisted indoor localization and the impact of interference on its performance
Journal of Network and Computer Applications
Resource-aware on-line RFID localization using proximity data
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
Improving position estimation accuracy of mobile robot by using UHF passive RFID tags
ICHIT'11 Proceedings of the 5th international conference on Convergence and hybrid information technology
An intelligent infant location system based on RFID
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part I
A Review of Tags Anti-collision and Localization Protocols in RFID Networks
Journal of Medical Systems
Engineering Applications of Artificial Intelligence
Localization of RFID-equipped assets during the operation phase of facilities
Advanced Engineering Informatics
Hi-index | 0.00 |
developing technology which uses wireless communication for automatic identification of objects. The localization of RFID tagged objects in their environment is becoming an important feature for the ubiquitous computing applications. In This paper we introduce a new positioning algorithm for RFID tags using two mobile RFID readers and landmarks which are passive or active tags with known location and distributed randomly. We present an analytical method for estimating the location of the unknown tag by using the multilateration with the landmarks and a probabilistic RFID map-based technique with Kalman Filtering to enhance the location estimation of the tag. This algorithm is independent from the readers coordinates, and hence it can be more practical due to its mobility and its low cost to achieve a high deployment of this emerging technology. Results obtained after conducting extensive simulations demonstrate the validity and suitability of the proposed algorithm to provide high performance level in terms of accuracy and scalability. Index Terms-- RFID, Indoor Location Estimation, Kalman Filtering, Probabilistic Map Matching.