NDLI: Geometric pattern of RFID multi-tag distribution in dynamic IOT environment

Content Provider	IEEE Xplore Digital Library
Author	Yu Xiao-lei Yu Yin-shan Zhao Zhi-min Wang Dong-hua
Copyright Year	2014
Description	Author affiliation: Coll. of Electron. Eng. & Optoelectron., Nanjing Univ. of Sci. & Technol., Nanjing, China (Yu Xiao-lei) \|\| Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China (Yu Yin-shan; Zhao Zhi-min) \|\| Jiangsu Inst. of Stand., Nanjing, China (Wang Dong-hua)
Abstract	In order to improve the dynamical recognition efficiency of radio frequency identification (RFID) system and to reduce the reading error of measurement, a dynamical analysis method is proposed in this paper, in which Fisher information matrix is introduced into RFID multi-tag distribution. The optimal selection of system's test point and the positioning effect of different planning paths could be evaluated by the Fisher information matrix with state parameters. In view of the rational distribution of RFID tags, the multi-tag geometrical patterns are given in dynamic internet of things (IOT) environment. The numerical simulation is shown that the tag number, path and speed could directly affect the RFID system's performance. Furthermore, the planning paths, limiting target speed and adjusting test points in practical applications could improve the dynamic recognition efficiency, by analysing the recognition efficiency curve.
Starting Page	809
Ending Page	812
File Size	163077
Page Count	4
File Format	PDF
e-ISBN	9781479948086
DOI	10.1109/ICIST.2014.6920600
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-04-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Geometry Heuristic algorithms RFID multi-tag Geometric pattern Aerodynamics Educational institutions Path planning Planning Dynamic IOT Acceleration Radiofrequency identification Fisher information matrix
Content Type	Text
Resource Type	Article

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