Adaptive multi-radio quality of service model using neural network approach for robust wireless sensor network transmission in multipath fading environment
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.
Keywords
Adaptive radio; MultiPath fading; Neural network; Signal to noise ratio; Wireless sensor networks; Wireless transmission
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PDFDOI: http://doi.org/10.11591/ijece.v15i4.pp3795-3802
Copyright (c) 2025 Galang Persada Nurani Hakim, Dian Widi Astuti, Ahmad Firdausi, Huda A. Majid
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International Journal of Electrical and Computer Engineering (IJECE)
p-ISSN 2088-8708, e-ISSN 2722-2578
This journal is published by theĀ Institute of Advanced Engineering and Science (IAES).