review-article

Performance Analysis of Metamaterial-Inspired Structure Loaded Antennas for Narrow Range Wireless Communication

Authors:

Mohammad Shabaz,

Bhupesh Kumar Singh Academic Editor:

Punit GuptaAuthors Info & Claims

Scientific Programming, Volume 2022

https://doi.org/10.1155/2022/7940319

Published: 01 January 2022 Publication History

Abstract

Nowadays, the demand for low-cost, compact, and interference rejected antennas with ultrawideband capability has been increased. Metamaterial-inspired loaded structures have capability of providing exceptional solutions for narrow range wireless communication and low consuming power while transmitting and receiving the signal. It is a difficult task to construct ideal metamaterial-inspired antennas with a variety of features such as extremely large bandwidth, notching out undesirable bands, and frequency. Metamaterial-inspired structures such as SRR and CSRR, and triangle-shaped TCSRR are most commonly used structures to achieve optimized characteristics in ultrawideband antennas. In this paper, an extensive literature survey is accomplished to get conception about metamaterial-inspired patch antennas. This review paper elucidates variants of metamaterial-inspired structures/resonators utilized in order to acquire sundry applications such as WiMAX, WLAN, satellite communication, and radar. Various researchers have used different methodology to design, stimulate, and analyze the metamaterial-inspired structure loaded antennas. Also, the results of different metamaterial-inspired antennas such as bandwidth, gain, return loss, and resonant frequency have been also represented in this paper. This manuscript also gives brief introduction about the metamaterial, its types, and then its application in microstrip patch antenna over the last decade. This manuscript throws light over the various studies conducted in the field of metamaterial-inspired antenna in the past. It has been seen that with the inclusion of metamaterial in conventional antenna, various characteristics such as impedance bandwidth, reflection coefficient, gain, and directivity have been improved. Also, frequency rejection of narrow bands which exits in ultrawideband frequency range can be done by embedding metamaterial-inspired structures such as SRR and CSRR.

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Alomar M(2023)An IOT based smart grid system for advanced cooperative transmission and communicationPhysical Communication10.1016/j.phycom.2023.10206958:COnline publication date: 1-Jun-2023
https://dl.acm.org/doi/10.1016/j.phycom.2023.102069
N. AH.V. CG. MShabaz MMartinez-Valencia AK.B. VVerma SArias-Gonzáles J(2023)Delay optimization and energy balancing algorithm for improving network lifetime in fixed wireless sensor networksPhysical Communication10.1016/j.phycom.2023.10203858:COnline publication date: 1-Jun-2023
https://dl.acm.org/doi/10.1016/j.phycom.2023.102038
Sanober SAldawsari MKarimovna AOfori I(2022)Blockchain Integrated with Principal Component AnalysisSecurity and Communication Networks10.1155/2022/86490602022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/8649060
Mohseni MAlkhayyat ASrikaanth PAlrubaie AAlguno ACapangpangan RSingh B(2022)Analyzing Characteristics for Two-Step SET Operation Scheme for Improving Write Time in Nanoscale Phase-Change Memory (PCM)Journal of Nanomaterials10.1155/2022/68228842022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/6822884
Mahaveerakannan RVelmurugan SVijaya Bhaskar SJothi Chitra RKareem ZSakthidasan Sankaran KVenkatesh Kanna TChweya R(2022)HGKMSecurity and Communication Networks10.1155/2022/60003752022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/6000375
Priscila SSharma AVanithamani SAhmad FMahaveerakannan RAlrubaie AJagota VSingh B(2022)Risk-Based Access Control Mechanism for Internet of Vehicles Using Artificial IntelligenceSecurity and Communication Networks10.1155/2022/33798432022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/3379843
Wang PRavishankar C(2016)Key foisting and key stealing attacks in sensor networksInternational Journal of Sensor Networks10.1504/IJSNET.2016.07957722:2(111-126)Online publication date: 1-Jan-2016
https://dl.acm.org/doi/10.1504/IJSNET.2016.079577

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