Hostname: page-component-848d4c4894-75dct Total loading time: 0 Render date: 2024-05-22T17:50:24.403Z Has data issue: false hasContentIssue false
  • English
  • Français

Application of Gbest-guided artificial bee colony algorithm to passive UHF RFID tag design

Published online by Cambridge University Press:  01 June 2015

Sotirios K. Goudos ,
Katherine Siakavara ,
Argiris Theopoulos ,
Elias E. Vafiadis Open the ORCID record for Elias E. Vafiadis [Opens in a new window]  and
John N. Sahalos
Sotirios K. Goudos*
Affiliation:
Radiocommunications Laboratory, Department of Physics, Aristotle University of Thessaloniki, Thessaloniki GR-541 24, Greece. Phone: +30 2310 998392
Katherine Siakavara
Affiliation:
Radiocommunications Laboratory, Department of Physics, Aristotle University of Thessaloniki, Thessaloniki GR-541 24, Greece. Phone: +30 2310 998392
Argiris Theopoulos
Affiliation:
Radiocommunications Laboratory, Department of Physics, Aristotle University of Thessaloniki, Thessaloniki GR-541 24, Greece. Phone: +30 2310 998392
Elias E. Vafiadis
Affiliation:
Radiocommunications Laboratory, Department of Physics, Aristotle University of Thessaloniki, Thessaloniki GR-541 24, Greece. Phone: +30 2310 998392
John N. Sahalos
Affiliation:
Radio & Telecommunications Laboratory, Department of Electrical and Computer Engineering, University of Nicosia, Nicosia, Cyprus
*
Corresponding author: S.K. Goudos Email: sgoudo@physics.auth.gr
Get access Rights & Permissions [Opens in a new window]

Abstract

In this paper, new planar spiral antennas with meander lines and loads for passive Radiofrequency identification tag application at ultra-high-frequency band are designed and optimized using the global best (gbest)-guided Artificial Bee Colony (GABC) algorithm. The GABC is an improved Artificial Bee Colony algorithm, which includes 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 commercial software FEKO. GABC is compared with other popular algorithms. The optimization results produced show that GABC is a powerful optimization algorithm that can be efficiently applied to tag antenna design problems.

Keywords

Antennas and propagation for wireless systemsRFID and sensors
Type
Research Paper
Information
International Journal of Microwave and Wireless Technologies , Volume 8 , Issue 3: Journee Nationale des Micro-ondes (JNM) 2015 , May 2016 , pp. 537 - 545
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2015 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

[1]Duroc, Y.; Andia Vera, G.; Garcia Martin, J.P.: Modified RSSI technique for the localization of passive UHF RFID tags in los channels. Int. J. Microw. Wireless Technol., 5 (5) (2013), 645–651.CrossRefGoogle Scholar
[2]Pouzin, A.; Vuong, T.P.; Tedjini, S.; Perdereau, J.: Automated bench test for uhf rfid tags measurement in operational environment. Int. J. Microw. Wireless Technol., 3 (4) (2011), 415–422.Google Scholar
[3]Rao, K.V.S.; Nikitin, P.V.; Lam, S.F.: Antenna design for uhf RFID tags: a review and a practical application. IEEE Trans. Antennas Propag., 53 (12) (2005), 3870–3876.Google Scholar
[4]Basu, B.: Synthesis of nonuniformly spaced linear array of parallel and collinear dipole with minimum standing wave ratio using evolutionary optimization techniques. Int. J. Microw. Wireless Technol., 3 (4) (2011), 431–438.CrossRefGoogle Scholar
[5]Alavi, S.M.; Naini, A.F.: A comparison between ga, pso, and iwo for shaped beam reflector antennas. Int. J. Microw. Wireless Technol., (2014), 1–6. doi:10.1017/S1759078714000853.Google Scholar
[6]Dib, N.I.: Synthesis of thinned planar antenna arrays using teaching–learning-based optimization. Int. J. Microw. Wireless Technol., (2014), 1–7. doi:10.1017/S1759078714000798.Google Scholar
[7]Marrocco, G.: Gain-optimized self-resonant meander line antennas for RFID applications. IEEE Antennas Wireless Propag. Lett., 2 (2003), 302–305.Google Scholar
[8]Karaboga, D.; Basturk, B.: A powerful and efficient algorithm for numerical function optimization: artificial bee colony (abc) algorithm. J. Glob. Optim., 39 (3) (2007), 459–471.Google Scholar
[9]Goudos, S.K.; Siakavara, K.; Sahalos, J.N.: Optimizing meandered spiral antennas for RFID tags using gbest-guided artificial bee colony algorithm, in 2014 8th European Conf. on Antennas and Propagation (EuCAP), 2014, 2962–2965.Google Scholar
[10]Goudos, S.K.; Siakavara, K.; Sahalos, J.N.: Novel spiral antenna design using artificial bee colony optimization for uhf rfid applications. IEEE Antennas Wireless Propag. Lett., 13 (2014), 528–531.Google Scholar
[11]Zhu, G.; Kwong, S.: Gbest-guided artificial bee colony algorithm for numerical function optimization. Appl. Math. Comput., 217 (7) (2010), 3166–3173.Google Scholar
[12]Trelea, I.C.: The particle swarm optimization algorithm: convergence analysis and parameter selection. Inf. Process. Lett., 85 (6) (2003), 317–325.CrossRefGoogle Scholar
[13]Dieter, S.; Fischer, C.; Menzel, W.: Analysis of a folded reflect-array antenna using particle swarm optimization. Int. J. Microw. Wireless Technol., 3 (3) (2011), 267–272.CrossRefGoogle Scholar