International Journal of Computer Networks and Applications (IJCNA)

Published By EverScience Publications

ISSN : 2395-0455

International Journal of Computer Networks and Applications (IJCNA)

International Journal of Computer Networks and Applications (IJCNA)

Published By EverScience Publications

ISSN : 2395-0455

Evaluation of the Effects of Measurement Interval on Artificial Neural Network-Based Prediction for Wireless Water Quality Monitoring Network

Author NameAuthor Details

Gurkan Tuna, Dogan Savran, Resul Das, Samsun Basarici,Yilmaz Kilicaslan

Gurkan Tuna[1]

Dogan Savran[2]

Resul Das[3]

Samsun Basarici[4]

Yilmaz Kilicaslan[5]

[1]Department of Computer Programming, Trakya University, Edirne, Turkey.

[2]Department of Mapping and Cadastre, Trakya University, Edirne, Turkey.

[3]Department of Software Engineering, Firat University, Elazig, Turkey.

[4]Department of Computer Engineering, Adnan Menderes University, Aydin, Turkey.

[5]Department of Computer Engineering, Adnan Menderes University, Aydin, Turkey.

Abstract

Water is the essential element of life, and not only its quantity but also the quality is a vital issue. In modern Lebensraum, the quality of water is ensured by the authorities. In this study, an artificial neural network-based water quality prediction system which relies on data collection through a wireless water quality monitoring network is proposed, and the effects of measurement interval on the prediction accuracy are investigated. In the proposed system, water quality parameters are collected at specified time-intervals and fed into the artificial neural network-based prediction system. The proposed system provides authorities a valuable tool to predict groundwater quality and thereby enables the authorities to take immediate actions for ensuring water quality. With a set of experimental studies, the efficiency and accuracy of the proposed system and the effects of measurement interval on the prediction performance are proved.

Index Terms

Artificial Neural Network

Back Propagation

Groundwater Quality

Wireless Water Quality Monitoring Network

Prediction

Measurement Interval

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