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The New Intelligent Wireless Sensor Network using Artificial Intelligence for Building Fire Disasters

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Irawan Dwi Wahyono, Khoirudin Asfani, Mohd Murtadha Mohamad, H.A. Rosyid, A.N. Afandi, Aripriharta

2020 Proceeding - 2020 3rd International Conference on Vocational Education and Electrical Engineering: Strengthening the framework of Society 5.0 through Innovations in Education, Electrical, Engineering and Informatics Engineering, ICVEE 2020 Conference paper Cited by 8 Quartile

Abstract

This research was aimed to develop an intelligent system for Wireless Sensor Network (WSN) to determine fire disasters in buildings. The parameters used in determining the disasters in the building were temperature level, smoke level, gas content level, the amount of water available, and thenumber of people per room in the building. There were 3 levels to determine fire disasters, namely:Normal, early warning, and fire. The determination of building fire disasters was done by WSN usingartificial intelligence with 3 parameters. The Test results in this study obtained an average accuracy rate of 91,8% by utilizing the artificial intelligence algorithm on WSN. © 2020 IEEE.

Affiliations

Universitas Negeri Malang, Faculty of Engineering, Malang, Indonesia; Universiti Teknologi Malaysia, Faculty of Engineering, Malaysia

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