An Efficient k-Means Clustering Algorithm: Analysis and Implementation
IEEE Transactions on Pattern Analysis and Machine Intelligence
LANDMARC: Indoor Location Sensing Using Active RFID
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Wireless Information Networks (Wiley Series in Telecommunications and Signal Processing)
Wireless Information Networks (Wiley Series in Telecommunications and Signal Processing)
Radio-Frequency Identification (RFID) applications: A brief introduction
Advanced Engineering Informatics
VIRE: Active RFID-based Localization Using Virtual Reference Elimination
ICPP '07 Proceedings of the 2007 International Conference on Parallel Processing
RFID Indoor Positioning Based on Probabilistic RFID Map and Kalman Filtering
WIMOB '07 Proceedings of the Third IEEE International Conference on Wireless and Mobile Computing, Networking and Communications
Indoor tracking for mission critical scenarios: A survey
Pervasive and Mobile Computing
RFID-assisted indoor localization and the impact of interference on its performance
Journal of Network and Computer Applications
Role-based access to facilities lifecycle information on RFID tags
Advanced Engineering Informatics
Advanced Engineering Informatics
Model-based multidimensional clustering of categorical data
Artificial Intelligence
Survey of Wireless Indoor Positioning Techniques and Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Review: A survey of active and passive indoor localisation systems
Computer Communications
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Indoor localization has gained importance as it has the potential to improve various processes related to the lifecycle management of facilities and to deliver personalized and location-based services (LBSs). Radio Frequency Identification (RFID) based systems, on the other hand, have been widely used in different applications in construction and maintenance. This paper investigates the usage of RFID technology for indoor localization of RFID equipped assets during the operation phase of facilities. The location-related data on RFID tags attached to assets are extracted from a Building Information Model (BIM) and can provide context-aware information inside the building which can improve Facilities Management (FM) processes. First, using the current location of the assets saved on the tags attached to fixed assets, an FM personnel is able to read tags from a distance and locate them on a floor plan. Fixed tags with known positions act as reference tags for RFID reader localization techniques. In this scenario, the user can also estimate his/her location by scanning the surrounding reference tags. Furthermore, the paper investigates an approach to locate moveable assets using received signals from available reference tags in the building based on pattern matching and clustering algorithms. As a result, a user equipped with an RFID reader is able to estimate his/her location, as well as the location of target assets, without having access to any Real-Time Location System (RTLS) infrastructure. Several case studies are used to demonstrate the feasibility of the proposed methods.