132
Views
10
CrossRef citations to date
0
Altmetric
Articles

Miniaturized Dual-Band Metamaterial-Loaded Antenna for Heterogeneous Vehicular Communication Networks

ORCID Icon, ORCID Icon &
Pages 2436-2445 | Published online: 04 Mar 2021
 

Abstract

The design of a dual-band monopole antenna exploiting the concepts of metamaterial loading is presented in this paper. A left-handed metamaterial (LHM) is designed to reduce the size of a simple monopole antenna and realize multiple resonance characteristics. The proposed LHM-loaded monopole antenna operates at two distinct frequencies, viz. 2.45 and 3.6 GHz making the antenna suitable for ISM and WLAN/WiMAX communications in an automotive environment. Furthermore, the proposed LHM offers at least 19% frequency reduction in comparison with the reference monopole antenna. The measured reflection coefficient bandwidth is 10 and 8% at both the frequency bands with a positive gain greater than 3 dBi. The suitability of the proposed antenna for heterogeneous vehicular communications is verified in simulation using a 3D car model. The effect of the vehicle’s body on the radiation pattern is studied. The prototype antenna is fabricated, and the simulation results are validated using experimental measurements.

Additional information

Notes on contributors

E. M. Malathy

E M Malathy is an associate professor in the Department of Information Technology at Sri Sivasubramanian Nadar (SSN) College of Engineering. She was awarded PhD at the College of Engineering, Guindy, Anna University. She completed ME (System Engineering and Operation Research) from the College of Engineering, Guindy, in the Department of Computer Science and Engineering. She received her bachelor degree in electronics and instrumentation engineering from the Government College of Technology, Coimbatore, India. She has 19 years of teaching experience.

I. R. Praveen Joe

I R Praveen Joe is presently an associate professor of computer science and engineering at KCG College of Technology, Chennai. He has 17+ years of teaching and research experience in engineering. He obtained his MCA degree from Loyola College, Chennai, ME degree from College of Engineering, Guindy, Chennai, and PhD degree from Madras Institute of Technology, Anna University, Chennai. His research areas include data mining, web services, and optimization techniques. He is presently a recognized research supervisor at Anna University, Chennai. E-mail: [email protected]

P. Ajitha

P Ajitha is an associate professor in the School of Computing, Sathyabama Institute of Science and Technology, Deemed University, and she completed PhD from the same institution. She graduated with distinction in BE in Electronics and Instrumentation Engineering (BE) in the year 1998 from Government College of Technology, Bharathiar University, Tamil Nadu, India. She pursued her master’s degree in computer science in the year 2001 from Arulmigu Kalasalingam College of Engineering, Madurai Kamaraj University, Tamil Nadu, India. E-mail: [email protected]

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 100.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.