Acta Infologica

Acta Infologica

ANFIS Analysis of Wireless Sensor Data with FPGA

Yazarlar: Khazal AHMED, Tuncay Ercan

Cilt 2 , Sayı 1 , 2018 , Sayfalar 22 - 32

Konular:Bilgisayar Bilimleri, Bilgi Sistemleri

DOI:10.30801/acin.357635

Anahtar Kelimeler:ANFIS,Neuro-Fuzzy System,FPGA,Sensor Nodes,Smart Node

Özet: Applications related with WSNs may include thousands of separate sensor nodes, production and control data for different industrial sectors. It is important to manage these applications, monitor the network and reprogram the nodes to avoid operational problems. In this study, we propose a smart wireless sensor network using a reconfigurable embedded system of Field-Programmable Gate Arrays (FPGAs) with a soft-core processor. This processor can be programmed dynamically and synthesized to implement the preprocessing of sensed data by ensemble Hybrid Neuro-Fuzzy algorithms such as Adaptive Neuro-Fuzzy Inference System (ANFIS). The first part of the proposed work is based on Matlab software to develop and train the ANFIS algorithm. Two different types of data sets (temperature and humidity) downloaded from Internet have been used in order to make a comparison between the Matlab Toolbox and modified ANFIS algorithm with momentum factor. The results obtained in this study have shown that the modified ANFIS algorithm is the convenient choice in terms of speed, accuracy.

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@article{2018, title={ANFIS Analysis of Wireless Sensor Data with FPGA}, volume={2}, number={22–32}, publisher={Acta Infologica}, author={Khazal AHMED,Tuncay Ercan}, year={2018} }
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Khazal AHMED,Tuncay Ercan. (2018). ANFIS Analysis of Wireless Sensor Data with FPGA (Vol. 2). Vol. 2. Acta Infologica.
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Khazal AHMED,Tuncay Ercan. ANFIS Analysis of Wireless Sensor Data with FPGA. no. 22–32, Acta Infologica, 2018.
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