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All Journal International Journal of Electrical and Computer Engineering Sinergi Jurnal Teknologi Elektro Journal of Robotics and Control (JRC) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Informatika: Jurnal Pengembangan IT
Galang Persada Nurani Hakim
Universitas Mercu Buana
Aerospace Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Journal : International Journal of Electrical and Computer Engineering

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Adaptive multi-radio quality of service model using neural network approach for robust wireless sensor network transmission in multipath fading environment Hakim, Galang Persada Nurani; Astuti, Dian Widi; Firdausi, Ahmad; Majid, Huda A.
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i4.pp3795-3802

Abstract

Wireless sensor network loss in wireless data transmission is one of the problems that needs attention. Interference, fading, congestion, and delay are some factors that cause loss in wireless data transmission. This paper used an adaptive multi-radio model to enhance the wireless data transmission to be more robust to disturbance in a multipath fading environment. A neural network approach was used to generate the adaptive model. If we use 433 MHz as our carrier frequency with 250 kHz bandwidth and 12 spreading factors, we can get signal noise ratio (SNR) for 20 meters at about -9.8 dB. Thus, we can use the adaptive model to enhance the WSN wireless data transmission's SNR to 9 dB, automatically changing the radio configuration to 797.1 MHz frequency, with 378.1 bandwidth and 7.111 for spreading factor. Based on the result, the wireless data transmission link has been successfully enhanced using the proposed adaptive model for wireless sensor networks (WSN) in a multipath fading environment.
Co-Authors Abd. Rahman, Mohamed Adesta, Erry Yulian T. Ahmad Firdausi Akhmad Wahyu Dani, Akhmad Wahyu Dian Widi Astuti, Budi Irawan Prima Putra, Dian Widi Astuti, Eko Ramadhan Eko Ramadhan Fadli Sirait Habibi, Hamzah Iswanto Suwarno Majid, Huda A. Mirna Yunita Mohamed Ariff, Tasnim Firdaus Muhammad Hafizd Ibnu Hajar Nurrozan, Iqbal Rachmat Muwardi RAHAYU, FAJAR Ramadhan, Eko Rosarina, Desy Septiyana, Diah Septiyana, Diah Setiyo Budiyanto Sukindar, Nor Aiman