Title :
Zone classification for low-power active RFID tags
Author :
Dwiyasa, F. ; Meng-Hiot Lim
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
Abstract :
Radio Frequency Identification (RFID) and its localization capability have played a significant role in the advancement of the internet-of-things in recent years. In this preliminary work, we examine a statistical approach to perform zone classification based on RFID signal strength. A one-dimensional experimental test was conducted in an outdoor and corridor environment with clear line of sight between the RFID reader and the tags. This empirical study shows that 3 out of 4 zones can be distinguished by using mean and standard deviation of equally-spaced data samples within the zone.
Keywords :
radiofrequency identification; statistical analysis; RFID reader; RFID signal strength; corridor environment; localization capability; low-power active RFID tags; one-dimensional experimental test; outdoor environment; radio frequency identification; statistical approach; zone classification; Active RFID tags; Computational modeling; Indexes; Mathematical model; Propagation losses; Standards; RFID; signal strength; zone classification;
Conference_Titel :
Integrated Circuits (ISIC), 2014 14th International Symposium on
Conference_Location :
Singapore
DOI :
10.1109/ISICIR.2014.7029529
