Optimizing meandered spiral antennas for RFID tags using gbest-guided Artificial Bee Colony algorithm

Author

Goudos, Sotirios K. ; Siakavara, Katherine ; Sahalos, John N.

Author_Institution

Dept. of Phys., Aristotle Univ. of Thessaloniki, Thessaloniki, Greece

fYear

2014

fDate

6-11 April 2014

Firstpage

2962

Lastpage

2965

Abstract

In this paper, new planar spiral antennas with meander lines and loads for passive RFID tag application at UHF band are designed and optimized using the gbest-guided Artificial Bee Colony (GABC) algorithm. The GABC is an improved ABC algorithm, which includes global best (gbest) solution information into the search equation to improve the exploitation. The optimization goals are antenna size minimization, gain maximization, and conjugate matching. The antenna dimensions were optimized and evaluated in conjunction with FEKO. The optimization results produced show that GABC is a powerful optimization algorithm that can be efficiently applied to tag antenna design problems.

Keywords

UHF antennas; optimisation; planar antennas; radiofrequency identification; spiral antennas; FEKO; GABC; UHF band; antenna design problems; antenna dimensions optimization; antenna size minimization; conjugate match; exploitation improvement; gbest-guided artificial bee colony algorithm; global best; meander lines; optimization goals; passive RFID tag application; planar spiral antennas; radiofrequency identification; Algorithm design and analysis; Antennas; Geometry; Optimization; Radiofrequency identification; Spirals; antenna; measurement; propagation;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation (EuCAP), 2014 8th European Conference on

Conference_Location

The Hague

Type

conf

DOI

10.1109/EuCAP.2014.6902449

Filename

6902449