Optimal Design of Switchable Wearable Antenna Array for Wireless Sensor Networks
In the paper, we present a novel approach to the optimum design of wearable antenna arrays intended for off-body links of wireless body area networks. Specifically, we investigate a four-element array that has a switchable radiation pattern able to direct its higher gain towards a signal source and...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-05-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/10/2795 |
| _version_ | 1797567955058294784 |
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| author | Łukasz Januszkiewicz Paolo Di Barba Sławomir Hausman |
| author_facet | Łukasz Januszkiewicz Paolo Di Barba Sławomir Hausman |
| author_sort | Łukasz Januszkiewicz |
| collection | DOAJ |
| description | In the paper, we present a novel approach to the optimum design of wearable antenna arrays intended for off-body links of wireless body area networks. Specifically, we investigate a four-element array that has a switchable radiation pattern able to direct its higher gain towards a signal source and a lower gain towards an interference. The aim is to increase the signal to interference ratio. We apply a genetic algorithm to optimize both the spatial placement and the feed phasing of the elementary on-body antennas. We propose a simplified, computationally efficient model for the simulation of the array radiation pattern. The model is based on full-wave simulations obtained with a simplified cylindrical model of the human body. We also propose, implement, and evaluate four objective functions based on signal to interference ratio, i.e., min-max, nadir point distance maximization, utopia point distance minimization, and full Pareto-like. Our optimized design obtained with this approach exhibits a significant performance improvement in comparison to the initial heuristic design. |
| first_indexed | 2024-03-10T19:49:31Z |
| format | Article |
| id | doaj.art-520432ad169b40db8dc4abae32339515 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T19:49:31Z |
| publishDate | 2020-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-520432ad169b40db8dc4abae323395152023-11-20T00:28:47ZengMDPI AGSensors1424-82202020-05-012010279510.3390/s20102795Optimal Design of Switchable Wearable Antenna Array for Wireless Sensor NetworksŁukasz Januszkiewicz0Paolo Di Barba1Sławomir Hausman2Institute of Electronics, Lodz University of Technology, Wólczańska 211/215 Street, 93-005 Łódź, PolandDepartment of Electrical, Computer and Biomedical Engineering, University of Pavia, via Ferrata 5, 27100 Pavia, ItalyInstitute of Electronics, Lodz University of Technology, Wólczańska 211/215 Street, 93-005 Łódź, PolandIn the paper, we present a novel approach to the optimum design of wearable antenna arrays intended for off-body links of wireless body area networks. Specifically, we investigate a four-element array that has a switchable radiation pattern able to direct its higher gain towards a signal source and a lower gain towards an interference. The aim is to increase the signal to interference ratio. We apply a genetic algorithm to optimize both the spatial placement and the feed phasing of the elementary on-body antennas. We propose a simplified, computationally efficient model for the simulation of the array radiation pattern. The model is based on full-wave simulations obtained with a simplified cylindrical model of the human body. We also propose, implement, and evaluate four objective functions based on signal to interference ratio, i.e., min-max, nadir point distance maximization, utopia point distance minimization, and full Pareto-like. Our optimized design obtained with this approach exhibits a significant performance improvement in comparison to the initial heuristic design.https://www.mdpi.com/1424-8220/20/10/2795genetic algorithmsFDTDfinite-difference time-domainwireless body area networkWBANsignal-to-interference ratio |
| spellingShingle | Łukasz Januszkiewicz Paolo Di Barba Sławomir Hausman Optimal Design of Switchable Wearable Antenna Array for Wireless Sensor Networks Sensors genetic algorithms FDTD finite-difference time-domain wireless body area network WBAN signal-to-interference ratio |
| title | Optimal Design of Switchable Wearable Antenna Array for Wireless Sensor Networks |
| title_full | Optimal Design of Switchable Wearable Antenna Array for Wireless Sensor Networks |
| title_fullStr | Optimal Design of Switchable Wearable Antenna Array for Wireless Sensor Networks |
| title_full_unstemmed | Optimal Design of Switchable Wearable Antenna Array for Wireless Sensor Networks |
| title_short | Optimal Design of Switchable Wearable Antenna Array for Wireless Sensor Networks |
| title_sort | optimal design of switchable wearable antenna array for wireless sensor networks |
| topic | genetic algorithms FDTD finite-difference time-domain wireless body area network WBAN signal-to-interference ratio |
| url | https://www.mdpi.com/1424-8220/20/10/2795 |
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