Many-Objective Automated Optimization of a Four-Band Antenna for Multiband Wireless Sensor Networks
This paper describes a new design and an optimization framework for a four-band antenna to be used in wireless sensor networks. The antenna is designed to operate effectively in two open frequency bands (ISM—Industrial, Scientific, Medical), 2.4 GHz and 5.8 GHz, as well as in two bands all...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-10-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/18/10/3309 |
_version_ | 1818037382384975872 |
---|---|
author | Łukasz Januszkiewicz Paolo Di Barba Łukasz Jopek Sławomir Hausman |
author_facet | Łukasz Januszkiewicz Paolo Di Barba Łukasz Jopek Sławomir Hausman |
author_sort | Łukasz Januszkiewicz |
collection | DOAJ |
description | This paper describes a new design and an optimization framework for a four-band antenna to be used in wireless sensor networks. The antenna is designed to operate effectively in two open frequency bands (ISM—Industrial, Scientific, Medical), 2.4 GHz and 5.8 GHz, as well as in two bands allocated for the fifth-generation (5G) cellular networks, 0.7 GHz and 3.5 GHz. Our initial design was developed using the trial and error approach, modifying a circular disc monopole antenna widely used in ultra wideband (UWB) systems. This initial design covered the three upper bands, but impedance matching within the 700 MHz band was unsatisfactory. The antenna performance was then improved significantly using an optimization algorithm that applies a bi-objective fully-Paretian approach to its nine-parameter geometry. The optimization criteria were impedance matching and radiation efficiency. The final design exhibits good impedance matching in all four desired bands with the Voltage Standing Wave Ratio (VSWR) value below 2 and radiation efficiency of 88%. The simulated antenna performance was verified experimentally. |
first_indexed | 2024-12-10T07:25:57Z |
format | Article |
id | doaj.art-2f5aa2b81fb047ed83c85d82103e416e |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-12-10T07:25:57Z |
publishDate | 2018-10-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj.art-2f5aa2b81fb047ed83c85d82103e416e2022-12-22T01:57:41ZengMDPI AGSensors1424-82202018-10-011810330910.3390/s18103309s18103309Many-Objective Automated Optimization of a Four-Band Antenna for Multiband Wireless Sensor NetworksŁukasz Januszkiewicz0Paolo Di Barba1Łukasz Jopek2Sławomir Hausman3Institute of Electronics, Lodz University of Technology, 90-924 Łódź, PolandDepartment of Electrical, Computer and Biomedical Engineering, University of Pavia, I-27100 Pavia, ItalyInstitute of Electronics, Lodz University of Technology, 90-924 Łódź, PolandInstitute of Electronics, Lodz University of Technology, 90-924 Łódź, PolandThis paper describes a new design and an optimization framework for a four-band antenna to be used in wireless sensor networks. The antenna is designed to operate effectively in two open frequency bands (ISM—Industrial, Scientific, Medical), 2.4 GHz and 5.8 GHz, as well as in two bands allocated for the fifth-generation (5G) cellular networks, 0.7 GHz and 3.5 GHz. Our initial design was developed using the trial and error approach, modifying a circular disc monopole antenna widely used in ultra wideband (UWB) systems. This initial design covered the three upper bands, but impedance matching within the 700 MHz band was unsatisfactory. The antenna performance was then improved significantly using an optimization algorithm that applies a bi-objective fully-Paretian approach to its nine-parameter geometry. The optimization criteria were impedance matching and radiation efficiency. The final design exhibits good impedance matching in all four desired bands with the Voltage Standing Wave Ratio (VSWR) value below 2 and radiation efficiency of 88%. The simulated antenna performance was verified experimentally.http://www.mdpi.com/1424-8220/18/10/3309multi-band antennawireless sensor networksParetian optimizationevolutionary computing5G networks |
spellingShingle | Łukasz Januszkiewicz Paolo Di Barba Łukasz Jopek Sławomir Hausman Many-Objective Automated Optimization of a Four-Band Antenna for Multiband Wireless Sensor Networks Sensors multi-band antenna wireless sensor networks Paretian optimization evolutionary computing 5G networks |
title | Many-Objective Automated Optimization of a Four-Band Antenna for Multiband Wireless Sensor Networks |
title_full | Many-Objective Automated Optimization of a Four-Band Antenna for Multiband Wireless Sensor Networks |
title_fullStr | Many-Objective Automated Optimization of a Four-Band Antenna for Multiband Wireless Sensor Networks |
title_full_unstemmed | Many-Objective Automated Optimization of a Four-Band Antenna for Multiband Wireless Sensor Networks |
title_short | Many-Objective Automated Optimization of a Four-Band Antenna for Multiband Wireless Sensor Networks |
title_sort | many objective automated optimization of a four band antenna for multiband wireless sensor networks |
topic | multi-band antenna wireless sensor networks Paretian optimization evolutionary computing 5G networks |
url | http://www.mdpi.com/1424-8220/18/10/3309 |
work_keys_str_mv | AT łukaszjanuszkiewicz manyobjectiveautomatedoptimizationofafourbandantennaformultibandwirelesssensornetworks AT paolodibarba manyobjectiveautomatedoptimizationofafourbandantennaformultibandwirelesssensornetworks AT łukaszjopek manyobjectiveautomatedoptimizationofafourbandantennaformultibandwirelesssensornetworks AT sławomirhausman manyobjectiveautomatedoptimizationofafourbandantennaformultibandwirelesssensornetworks |