Analysis, design, and optimization based on genetic algorithms of a highly efficient dual-band rectenna system for radiofrequency energy-harvesting applications

Results in Engineering, Год журнала: 2024, Номер 23, С. 102739 - 102739

Опубликована: Авг. 16, 2024

This paper gives an enhanced Rectenna design that operates at dual-band [2.45 and 5.8] GHz in the ISM (Industrial, Scientific, Medical) band is printed on FR4-Epoxy substrate. includes two proposed sub-designs for receiving antenna rectifier circuit based microstrip technology. The first sub-design concerns patch (MPA) described by its radiating element as a pentagonal, ground being affected defective structure technique, polarization manner circular polarization. MPA analyzed, designed, optimized using genetic algorithms (GAs), simulated under CST MWS (i.e., computer simulation technology microwave studio), confirmed another software named HFSS (high-frequency simulator). second (MRC) contains input matching network coupled-line impedance transformer strategy to achieve good adaptation between MRC, voltage doubler converter SMS7630 Schottky diode thanks high sensitivity, interdigital capacitor mitigate intrinsic losses due lumped elements, harmonic rejection filter stepped-impedance low-pass reject unwanted harmonics generated non-linear behavior of SMS7630, resistive load models consumption system be fed. MRC GAs, ADS (Advanced Design System). effectiveness proven terms gain equals 3.06 dBi 4.683 2.45 5.8 respectively, efficiency 95.13 % 96.552 respectively. effective lower power value about 97.18 67.93

Язык: Английский

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An integrated MCDM approach for enhancing efficiency in connected autonomous vehicles through augmented intelligence and IoT integration

Results in Engineering, Год журнала: 2024, Номер 23, С. 102626 - 102626

Опубликована: Июль 27, 2024

The rapid advancement of Connected Autonomous Vehicles (CAVs) equipped with self-powered sensors is poised to revolutionize road safety, efficiency, and the quality travel. However, effective integration these technologies within dynamic environments poses significant challenges, highlighting need for innovative multi-criteria decision-making (MCDM) approaches optimize their deployment. This study tries solve problem by proposing an MCDM method that uses fuzzy sets evaluate rank different scenarios better performance augmented intelligence Internet Things (IoT) in CAVs. research two key techniques: Fuzzy Logarithm Incremental Weights (F-LMAW) criteria evaluation Fermatean Weighted Aggregated Sum Product Assessment (FF-WASPAS) scenario evaluation. To ensure reliability accuracy results, a sensitivity analysis was conducted. confirmed effectiveness proposed approach. study's results showed third (the IoT urban areas via sensors) got highest score, which shows how important it compared other choices. obtained highlight importance integrating enhance public transportation autonomous vehicles sensors.

Язык: Английский

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Stochastic Modeling of Electric Vehicle Infrastructure Using Queueing-Theoretical Approach

Results in Engineering, Год журнала: 2025, Номер unknown, С. 104149 - 104149

Опубликована: Янв. 1, 2025

Язык: Английский

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An Experimental Study of a High-Gain, Wideband Circularly Polarized Printed Antenna Array at 2.45 GHz in the ISM Band for Wireless Power Transmission Applications

Scientific African, Год журнала: 2025, Номер unknown, С. e02619 - e02619

Опубликована: Фев. 1, 2025

Язык: Английский

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Misalignment-Tolerant Wireless Power Transfer for High Endurance IoT Sensors Using UAVs and Nonlinear Resonant Circuits

Results in Engineering, Год журнала: 2025, Номер unknown, С. 104879 - 104879

Опубликована: Апрель 1, 2025

Язык: Английский

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A Three-Phase Coil Coupling Wireless Power Transfer Pad for Electric Vehicles Battery Charging Systems

Results in Engineering, Год журнала: 2024, Номер unknown, С. 103856 - 103856

Опубликована: Дек. 1, 2024

Язык: Английский

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