Genetic algorithm based efficient tag detection in RFID reader networks

Author

Irfan, Nazish ; Yagoub, Mustapha C E ; Hettak, Khelifa

Author_Institution

Sch. of Electr. Eng. & Comput. Sci. (EECS), Univ. of Ottawa, Ottawa, ON, Canada

fYear

2011

fDate

19-21 Sept. 2011

Firstpage

1

Lastpage

4

Abstract

Radio Frequency Identification (RFID) systems, due to recent technological advances, have been used for various advantages in industry like production facilities, supply chain management etc. However, sometimes this requires a dense deployment of readers to cover the working area. Without optimizing reader´s location and number, many of them will be redundant, reducing the efficiency of the whole RFID system. There are many algorithms proposed to solve this redundant reader problem, but all existing algorithms are based on omnidirectional reader antenna pattern, which is not practical. In this paper, a genetic algorithm is used to optimize the antenna beam to eliminate redundant reader based on real directional reader antenna pattern.

Keywords

antenna radiation patterns; genetic algorithms; omnidirectional antennas; radiofrequency identification; RFID reader networks; dense deployment; efficient tag detection; genetic algorithm; omnidirectional reader antenna pattern; radiofrequency identification; Antenna radiation patterns; Biological cells; Directive antennas; Genetic algorithms; Optimization; Radiofrequency identification; Antenna; Genetic Algorithm; Optimization; RFID; Reader-Coverage;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence for Measurement Systems and Applications (CIMSA), 2011 IEEE International Conference on

Conference_Location

Ottawa, ON, Canada

ISSN

2159-1547

Print_ISBN

978-1-61284-924-9

Type

conf

DOI

10.1109/CIMSA.2011.6059921

Filename

6059921