Title :
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
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;
Conference_Titel :
Computational Intelligence for Measurement Systems and Applications (CIMSA), 2011 IEEE International Conference on
Conference_Location :
Ottawa, ON, Canada
Print_ISBN :
978-1-61284-924-9
DOI :
10.1109/CIMSA.2011.6059921
