DocumentCode :
114366
Title :
Geometric pattern of RFID multi-tag distribution in dynamic IOT environment
Author :
Yu Xiao-lei ; Yu Yin-shan ; Zhao Zhi-min ; Wang Dong-hua
Author_Institution :
Coll. of Electron. Eng. & Optoelectron., Nanjing Univ. of Sci. & Technol., Nanjing, China
fYear :
2014
fDate :
26-28 April 2014
Firstpage :
809
Lastpage :
812
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.
Keywords :
Internet of Things; matrix algebra; numerical analysis; radiofrequency identification; Fisher information matrix; RFID multitag distribution; dynamic IOT environment; dynamic internet of things environment; dynamical analysis; dynamical recognition efficiency; multitag geometrical patterns; numerical simulation; optimal selection; planning paths; radiofrequency identification; Acceleration; Aerodynamics; Educational institutions; Geometry; Heuristic algorithms; Planning; Radiofrequency identification; Fisher information matrix; RFID multi-tag; dynamic IOT; geometric pattern; path planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Technology (ICIST), 2014 4th IEEE International Conference on
Conference_Location :
Shenzhen
Type :
conf
DOI :
10.1109/ICIST.2014.6920600
Filename :
6920600
Link To Document :
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