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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control)
Hadj Zerrouki
Djillali Liabes University of Sidi Bel Abbes
Computer Science & IT

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Design and simulation of a compact patch antenna for breast cancer tumors detection in the Wi-Fi band Salima Azzaz-Rahmani; Hadj Zerrouki
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 24, No 4: August 2026
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v24i4.27781

Abstract

The escalating need for safe, low-cost, and reliable medical diagnostic tools has propelled research into microwave imaging (MWI) for breast cancer detection. This study aims to design and evaluate, via simulation, a compact microstrip patch antenna operating in the 2.4 GHz wireless fidelity (Wi-Fi) band as a preliminary sensing element. The antenna, with overall dimensions of (14×14×3.1) mm³, is designed on a Rogers RT/duroid 5880 substrate and superstrate (ε_r= 2.2). To evaluate its detection capabilities, the antenna is placed over a simplified three-layer human breast phantom (skin, fat, and fibro-glandular tissue). Using Ansys high frequency structure simulator (HFSS) software, three scenarios were simulated: a healthy breast, a breast with a single tumor, and a breast with two tumors. The simulation results indicate measurable shifts in electromagnetic parameters used as diagnostic indicators. The presence of tumors caused a shift in the resonant frequency (from 2.42 GHz to 2.46 GHz) and a variation in the reflection coefficient (S11) magnitude. Specifically, the antenna demonstrates high sensitivity to dielectric loading changes, identified by a performance framework that correlates frequency shifts to tumor presence, while maintaining specific absorption rate (SAR) values within safety limits. This work demonstrates, through simulation, the feasibility of using a compact Wi-Fi band patch antenna for breast tumor detection, providing a foundation for future experimental development of portable diagnostic systems.
SELLA: An IoT-based smart shopping trolley with real-time RFID tracking and automated checkout Hadj Zerrouki; Salima Azzaz-Rahmani
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 24, No 1: February 2026
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v24i1.27464

Abstract

The contemporary retail sector faces a persistent challenge in enhancing in store customer experience, primarily due to inefficiencies at checkout. This paper presents smart e-cart for lean logistics application (SELLA), a smart shopping trolley system engineered to eliminate this bottleneck. The system’s architecture is centered on a Raspberry Pi 4 microcontroller, orchestrating an ultra-high frequency (UHF) radio frequency identification (RFID) subsystem for instantaneous, non-line-of-sight product identification, and a responsive 7-inch touchscreen graphical user interface (GUI) developed in PyQt. The core contribution lies in developing a self contained shopping solution with integrated payment processing, supported by comprehensive performance validation. We present a detailed methodology, including the system’s multi-threaded software architecture and core operational algorithm. Experimental evaluation demonstrates a mean tag detection accuracy of 98.2% under optimal conditions, a robust user interface (UI) latency of under 500 ms, and an average central processing unit (CPU) utilization of 28%, proving system efficiency. Comparative analysis confirms that SELLA’s integration of on-trolley automated payment and detailed performance metrics represents a significant advancement over existing prototypes. The system provides a validated, high-performance solution for next-generation smart retail environments.
Co-Authors Salima Azzaz-Rahmani