Akademik Veri Yönetim Sistemi
5th International Conference on Artificial Intelligence and Signal Processing, AISP 2025, Amaravati, Hindistan, 22 - 24 Kasım 2025, (Tam Metin Bildiri)
This study proposes a rectenna design based on artificial intelligence for Wi-Fi applications. The rectenna design is constructed with a genetic algorithm (GA) employing a binary coding technique. The suggested rectenna is designed to function at frequencies of 2.45GHz and 5.8GHz, with a maximum dimension of 27×30×10mm3. The improved rectenna's performance has been evaluated based on S-parameters, bandwidth, radiation patterns, and gain. A dual-bandwidth patch is developed for applications at 2.45GHz and 5.8GHz. The assessed radiation patterns and S11 spectra provide peak radiation efficiencies of 52% and 56%, corresponding to gains of 6.2 dB at 2.45 GHz and 7.12 dB at 5.8 GHz, respectively. The suggested rectenna is integrated with an RF-DC rectifier of the simulated module to quantify the gathered power as DC output voltage in outdoor settings. The peak collected DC output voltage resulted in 2.27V and 2.3V for frequencies of 2.45GHz and 5.8GHz, respectively. Ultimately, the acquired data are juxtaposed with the simulated outcomes to achieve substantial concordance between them.