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Metaheuristic (Ant Colony Optimization) Algorithm-Based Optimization of a Circular Shaped Patch Antenna for Medical Purposes

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Abstract

This paper presents the design, simulation, optimization, fabrication and testing of a circular shape based antenna, ant colony optimization (ACO) algorithm was chosen for antenna optimization. The antenna considered here was fed by a 1.59 mm diameter coaxial cable, the location of feeding and the radius of circular shape was varied by ant colony optimization algorithm (ACO). Finding a set of settings that would enhance the antenna's performance was the optimization's goal. We have made use of MATLAB software to implement ACO algorithm. The Ansys HFSS software which was used to design antenna allows MATLAB to be interfaced with it for optimization purpose. The parameters considered were return loss (reflection coefficient S11) and the voltage standing wave ratio (VSWR). The ACO yielded a design with return loss (S11) of − 25.85 dB and VSWR of 1.24 at 2.48 GHz. The entire antenna dimensions will be approximately (5 cm × 5 cm). The substrate used is FR4 (flame retardant) epoxy. There was strong good agreement between the measurements from the antenna's (fabrication) manufacturing and simulation for the operational frequencies and desirable performance in gain, bandwidth and VSWR (voltage standing wave ratio) parameters. The VSWR achieved values was lower than 1.4 for the frequencies used. Additionally, the simulations portray a broad radiation pattern and shows good gain and directivity. The antenna which was fabricated was tested using Anechoic chamber and network analyser. This tested antenna was used in wearable health care application due to its small size. At the transmitter side we used temperature and pulse reading sensors to collect physiological information like body temperature and heart rate from the patient, these sensors were connected to Arduino microcontroller then to transmit this physiological information, NRF24L01 transreceiver module along with our fabricated ACO optimised antenna was used, which is connected to Arduino microcontroller. At the receiver side we received the physiological information using, NRF24L01 transreceiver module along with our fabricated ACO optimised antenna connected to Arduino microcontroller. The RLC equivalent model of the ACO optimized circular shape based antenna was simulated in advanced design system (ADS) software which allows simulation of RF components and provides return loss parameter (S11) which was − 27.96 dB at 2.44 GHz.

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Data Availability

The dataset produced and analyzed in this study can be obtained from the corresponding author upon reasonable request.

References

  1. Paul S, Ravichandran A, Varshney M, Pandey S. A novel multi-patch triangular antenna for energy harvesting. In: Panigrahi B, Trivedi M, Mishra K, Tiwari S, Singh P, editors. Smart innovations in communication and computational sciences. Advances in intelligent systems and computing, vol. 669. Singapore: Springer; 2019.

    Google Scholar 

  2. Anoop P, Bhattacharjee R. Investigation on dual-band equilateral triangular shaped dielectric resonator antennas for WLAN applications. Int J RF Microw Comput Aid Eng. 2021;31(7). https://doi.org/10.1002/mmce.22672.

    Article  Google Scholar 

  3. Chakrabarti S, Chakraborty A. A dual band shorted triangular patch antenna for vehicular application. Int J RF Microw Comput Aid Eng. 2021;31(4). https://doi.org/10.1002/mmce.22801.

    Article  Google Scholar 

  4. Kaur A, Kumar Y. Optimization of meander line antenna using ACO technique. Int J Recent Innov Trends Comput Commun. 2013;1(10):761–6.

    Google Scholar 

  5. Mahapatra S, Mohanty MN. Slit-loaded hexagonal patch for body area network applications at 5.8 GHz. Appl Comput Electromagn Soc J. 2021;36(11):1429–37.

    Google Scholar 

  6. Mohanty MN, Mahapatra S. Multiband hexagonal patch antenna for high data rate wearable applications. Iran J Sci Technol Trans Electr Eng. 2022;46(4):925–34.

    Article  Google Scholar 

  7. Ahmad A, Faisal F, Ullah S, Choi D-Y. Design and SAR analysis of a dual band wearable antenna for WLAN applications. Appl Sci. 2022;12(18):9218. https://doi.org/10.3390/app12189218

    Article  Google Scholar 

  8. Hu Y-Y, Sun S, Su H-J, Yang S, Hu J. Dual-beam rectenna based on a short series-coupled patch array. IEEE Trans Antennas Propag. 2021;69(9):5617-30. https://doi.org/10.1109/TAP.2021.3069425.

    Article  Google Scholar 

  9. Jia B, Yan L, Fan Y. Design of a circularly polarized triangular patch antenna with circular slots for the 5.8 GHz ISM band. IEEE Antennas Wirel Propag Lett. 2019;13:1112-5. https://doi.org/10.1109/LAWP.2014.2330293.

    Article  Google Scholar 

  10. Zhang J, Wang Y, Wang J. A broadband circularly polarized triangular patch antenna with circular slots. IEEE Antennas Wirel Propag Lett. 2023;4:472-83.

    Google Scholar 

  11. Kapoor A, Kumar P, Mishra R. Analysis, and design of a passive spatial filter for sub-6 GHz 5G communication systems. J Comput Electron. 2021;20(5):1900-15. https://doi.org/10.1007/s10825-021-01742-3.

    Article  Google Scholar 

  12. Patel NH. Design of C-shaped patch antenna for multiband applications. Int J Eng Res Technol. 2020;9(6):145-8. https://doi.org/10.17577/IJERTV9IS060159.

    Article  Google Scholar 

  13. Sharma N, Sharma V. A design of microstrip patch antenna using hybrid fractal slot for wide band applications. Ain Shams Eng J. 2017;9(4):1-7. https://doi.org/10.1016/j.asej.2017.05.008 (ISSN 2090-4479).

    Article  Google Scholar 

  14. Khan MU, Sharawi MS, Mittra R. Microstrip patchantenna miniaturisation techniques: a review. IET Microw Antennas Propag. 2015;9(9):913–22.

    Article  Google Scholar 

  15. Taghadosi M, Albasha L, Qaddoumi N, Ali M. Miniaturised printed elliptical nested fractal multiband antenna for energy harvesting applications. IET Microw Antennas Propag. 2015;9(10):1045–53.

    Article  Google Scholar 

  16. Amini A, Oraizi H, Chaychizadeh MA. Miniaturised UWB log-periodic square fractal antenna. IEEE Antennas Wirel Propag Lett. 2015;14:1322–5.

    Article  Google Scholar 

  17. Costanzo S, Venneri F, Di Massa G, Borgia A, Costanzo A, Raffo A. Fractal reflectarray antennas: state of art and new opportunities. Int J Antennas Propag. 2016;2016:7165143.

    Article  Google Scholar 

  18. Nayyar A, Singh R. Ant colony optimization—computational swarm intelligence technique. In: International Conference on Computing for Sustainable Global Development, p. 1493–9, 2016.

  19. Mahapatra S, Mohanty MN. Design of circular patch antenna for wireless communication in K-band. In: Advances in electronics, communication and computing. Berlin: Springer; 2021. p. 271–7.

    Chapter  Google Scholar 

  20. Satrusallya S, Mohanty MN. Design of optimized microstrip array antenna for wireless communication. In: 2019 International Conference on Applied Machine Learning (ICAML), p. 273–6, 2019.

  21. Orankitanun T, Yaowiwat S. Application of genetic algorithm in tri-band U-slot microstrip antenna design. In: 2020 17th International Conference on Electrical Engineering/Electronics Computer Telecommunications and Information Technology (ECTI-CON), p. 127–30.

  22. El Misilmani HM, Naous T, Al Khatib SK. A review on the design and optimization of antennas using machine learning algorithms and techniques. Int J RF Microw Comput Aid Eng. 2020;30(10).

  23. Wu Q, Wang H, Hong W. Double-layer machine learning assisted optimization for antenna sensitivity analysis. In: 2020 14th European Conference on Antennas and Propagation, p. 1–4.

  24. Ho Manh L, Khac Kiem N, Dao Ngoc C. Parallel computing in PSO for antenna design. In: Progress in Electromagnetics Research Symposium Abstracts, p. 203–4, 1–4 August 2018.

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Acknowledgements

The authors express gratitude to BGS Institute of Technology, Adichunchanagiri University, Karnataka, India, for their support in facilitating the research through provision of necessary facilities.

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  1. Electronics and Communication Engineering Department, BGS Institute of Technology, Adichunchanagiri University, Mandya, Karnataka, India

    D. S. Mahesh & K. B. Naveen

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  1. D. S. Mahesh
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  2. K. B. Naveen
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Correspondence to D. S. Mahesh.

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Mahesh, D.S., Naveen, K.B. Metaheuristic (Ant Colony Optimization) Algorithm-Based Optimization of a Circular Shaped Patch Antenna for Medical Purposes. SN COMPUT. SCI. 5, 918 (2024). https://doi.org/10.1007/s42979-024-03273-7

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