Abstract
This work introduces an AI-optimized helical antenna designed for wireless communication systems operating at 2.4 GHz. The antenna aims to achieve high gain with the fewest number of turns and smallest radius length while improving return loss and radiation-pattern characteristics. MATLAB is utilized for antenna design and simulation, resulting in a peak gain of 27.599 dBi. The Gray Wolf Optimizer (GWO) algorithm is employed for optimization, demonstrating significant enhancements in return loss and gain. Comparative analysis with previous studies highlights the superiority of this helical antenna design in terms of dimensions, parameters, and results. The integration of artificial intelligence algorithms enables the attainment of high gain with minimal size and turns, making it well-suited for wireless communication systems.
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Nabwy, H.H. et al. (2023). Optimized Helical Antenna for Wireless Application at 2.4 GHz Using Gray Wolf Optimizer. In: Hassanien, A., Rizk, R.Y., Pamucar, D., Darwish, A., Chang, KC. (eds) Proceedings of the 9th International Conference on Advanced Intelligent Systems and Informatics 2023. AISI 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 184. Springer, Cham. https://doi.org/10.1007/978-3-031-43247-7_38
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DOI: https://doi.org/10.1007/978-3-031-43247-7_38
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