ANFIS Analysis of Wireless Sensor Data with FPGA

Khazal Ahmed; Tuncay Ercan

doi:10.30801/acin.357635

ANFIS Analysis of Wireless Sensor Data with FPGA

Abstract

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.

Keywords

ANFIS,Neuro-Fuzzy System,FPGA,Sensor Nodes,Smart Node

References

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Details

Primary Language

English

Subjects

Computer Software

Journal Section

Research Article

Authors

Khazal Ahmed This is me
0000-0001-8171-5582
Türkiye

Tuncay Ercan ^*
0000-0003-0014-5106
Türkiye

Publication Date

June 26, 2018

Submission Date

November 24, 2017

Acceptance Date

June 8, 2018

Published in Issue

Year 2018 Volume: 2 Number: 1

DOI

https://doi.org/10.30801/acin.357635

IZ

https://izlik.org/JA68XP52CW

Cite

RIS / Bibtex

APA

Ahmed, K., & Ercan, T. (2018). ANFIS Analysis of Wireless Sensor Data with FPGA. Acta Infologica, 2(1), 22-32. https://doi.org/10.30801/acin.357635

AMA

1.Ahmed K, Ercan T. ANFIS Analysis of Wireless Sensor Data with FPGA. ACIN. 2018;2(1):22-32. doi:10.30801/acin.357635

Chicago

Ahmed, Khazal, and Tuncay Ercan. 2018. “ANFIS Analysis of Wireless Sensor Data With FPGA”. Acta Infologica 2 (1): 22-32. https://doi.org/10.30801/acin.357635.

EndNote

Ahmed K, Ercan T (June 1, 2018) ANFIS Analysis of Wireless Sensor Data with FPGA. Acta Infologica 2 1 22–32.

IEEE

[1]K. Ahmed and T. Ercan, “ANFIS Analysis of Wireless Sensor Data with FPGA”, ACIN, vol. 2, no. 1, pp. 22–32, June 2018, doi: 10.30801/acin.357635.

ISNAD

Ahmed, Khazal - Ercan, Tuncay. “ANFIS Analysis of Wireless Sensor Data With FPGA”. Acta Infologica 2/1 (June 1, 2018): 22-32. https://doi.org/10.30801/acin.357635.

JAMA

1.Ahmed K, Ercan T. ANFIS Analysis of Wireless Sensor Data with FPGA. ACIN. 2018;2:22–32.

MLA

Ahmed, Khazal, and Tuncay Ercan. “ANFIS Analysis of Wireless Sensor Data With FPGA”. Acta Infologica, vol. 2, no. 1, June 2018, pp. 22-32, doi:10.30801/acin.357635.

Vancouver

1.Khazal Ahmed, Tuncay Ercan. ANFIS Analysis of Wireless Sensor Data with FPGA. ACIN. 2018 Jun. 1;2(1):22-3. doi:10.30801/acin.357635