Title :
RFID tag indoor localization by Fingerprinting methods
Author :
Belhadi, Zineb ; Fergani, Lamya ; Fergani, B. ; Laheurte, Jean-Marc
Author_Institution :
LCPTS Lab., Univ. of USTHB, Algiers, Algeria
Abstract :
Different approaches based on various wireless technologies have been proposed so far for indoor localization. Radio frequency Identification (RFID) indoor localization seems to be a promising way of research. The identification capability of this technology combined to localization methods improves the results obtained by other wireless technologies such as Wifi, GPS, Zigbee. This paper details some localization techniques used for RFID Tags localization in Indoor environment. In particular, Fingerprinting methods are compared to Distance estimation methods. We will show through several simulation experiments, using NS2 and Matlab software, that fingerprinting techniques outperform Distance estimation techniques for localization and tracking tasks.
Keywords :
indoor radio; radio tracking; radiofrequency identification; NS2; RFID tag indoor localization; distance estimation method; fingerprinting method; radiofrequency identification indoor localization; task tracking; wireless technology; Artificial neural networks; Erbium; Estimation; Fingerprint recognition; Radiofrequency identification; Standards; Wireless sensor networks; Fingerprinting; Indoor environment; Localization; RFID technology;
Conference_Titel :
Wireless Communications, Vehicular Technology, Information Theory and Aerospace & Electronic Systems (VITAE), 2014 4th International Conference on
Conference_Location :
Aalborg
Print_ISBN :
978-1-4799-4626-6
DOI :
10.1109/VITAE.2014.6934420
