Research Article

Design and Optimization of a Flexible Frequency-Selective Surface for Wideband Electromagnetic Shielding in Wearable IoT Applications

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SciMatic J Electr Electron Eng, 2026, 1 (1), 9-15, ISSN

Abstract

The proliferation of wearable Internet of Things (IoT) devices has raised significant concerns regarding electromagnetic interference (EMI) and human exposure to radiofrequency radiation. Flexible frequency-selective surfaces (FSS) present a promising spatial filtering solution for targeted EMI shielding; however, achieving wideband rejection alongside structural flexibility, polarization independence, and angular stability remains a complex design challenge. This paper presents the design, multi-objective optimization, and experimental characterization of a flexible FSS tailored for wideband electromagnetic shielding in wearable IoT applications. The proposed FSS unit cell incorporates a modified nested double split-ring resonator screen-printed with silver conductive ink on a flexible polydimethylsiloxane (PDMS) substrate. A hybrid optimization scheme combining full-wave finite-integration technique (FIT) electromagnetic simulations with a Multi-Objective Genetic Algorithm (MOGA) was executed to maximize shielding effectiveness and fractional bandwidth while maintaining stability under oblique incidence and mechanical flexing. The fabricated FSS achieves a shielding effectiveness exceeding 20 dB across a broad frequency range from 2.38 GHz to 6.12 GHz, covering essential wireless bands including 2.4/5 GHz Wi-Fi, Bluetooth, and sub-6 GHz 5G communications. Experimental testing under conformal bending conditions down to a curvature radius of 10 mm demonstrates exceptional performance stability with minimal resonance drift (<2.1%). The lightweight, breathable, and mechanically robust FSS provides an practical methodology for integrating high-performance electromagnetic protection into smart textiles and wearable IoT platforms.

Keywords flexible electronics electromagnetic shielding Frequency-selective surface Wearable IoT Genetic algorithm optimization
Authors 3

The team behind this paper

3 authors, 3 institutions.

This paper Technical University of Munich — Germany Technical University of… 1 author Tokyo Institute of Technology — Japan Tokyo Institute of Tech… 1 author Covenant University — Nigeria Covenant University 1 author Prof. Elena Rostova — corresponding author ER Prof. Elena Rostova ✉ Dr. Kenji Takahashi KT Dr. Kenji Takahashi Dr. Amara Okechukwu AO Dr. Amara Okechukwu

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Bibliographic Information

Prof. Elena Rostova, Dr. Kenji Takahashi, Dr. Amara Okechukwu, (2026). Design and Optimization of a Flexible Frequency-Selective Surface for Wideband Electromagnetic Shielding in Wearable IoT Applications, SciMatic Journal of Electrical and Electronics Engineering, 1(1): 9-15
Bibtex Citation
@article{prof._elena_rostova2026sjeee,
author = {Prof. Elena Rostova and Dr. Kenji Takahashi and Dr. Amara Okechukwu},
title = {Design and Optimization of a Flexible Frequency-Selective Surface for Wideband Electromagnetic Shielding in Wearable IoT Applications},
journal = {SciMatic Journal of Electrical and Electronics Engineering},
year = {2026},
volume = {1},
number = {1},
pages = {9-15},
doi = {},
url = {https://scimatic.org/show_manuscript/8737}
}
APA Citation
Rostova, P.E., Takahashi, D.K., Okechukwu, D.A., (2026). Design and Optimization of a Flexible Frequency-Selective Surface for Wideband Electromagnetic Shielding in Wearable IoT Applications. SciMatic Journal of Electrical and Electronics Engineering, 1(1), 9-15. https://doi.org/

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