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A Disaster Information Gathering System Design Using Fuzzy Logic | SpringerLink
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A Disaster Information Gathering System Design Using Fuzzy Logic

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Advances on Broad-Band Wireless Computing, Communication and Applications (BWCCA 2017)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 12))

Abstract

Fuzzy-based system can improve the overall system performance for real-time data analysis. In our previous work, we proposed a fuzzy-based wireless sensor and actuator network testbed in order to select actuators (Roomba) in indoor environment. In this paper, we propose a disaster information gathering system using fuzzy logic. We evaluate the performance of the system by simulation considering fire strength, flammable gas concentration and temperature parameters. The simulation results show the performance is good in indoor scenario.

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Author information

Authors and Affiliations

  1. Graduate School of Engineering, Fukuoka Institute of Technology, 3-30-1 Wajiro-higashi, Higashi-ku, Fukuoka, 811-0295, Japan

    Gaku Tsuchiya & Donald Elmazi

  2. Department of Information and Communication Engineering, Fukuoka Institute of Technology, 3-30-1 Wajiro-higashi, Higashi-ku, Fukuoka, 811-0295, Japan

    Makoto Ikeda & Leonard Barolli

  3. Department of Information and Computer Engineering, Okayama University of Science, 1-1 Ridai-cho, Kita-ku, Okayama, 700-0005, Japan

    Elis Kulla

Authors
  1. Gaku Tsuchiya
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  2. Makoto Ikeda
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  3. Donald Elmazi
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  4. Leonard Barolli
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  5. Elis Kulla
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Corresponding author

Correspondence to Makoto Ikeda .

Editor information

Editors and Affiliations

  1. Faculty of Information Engineering, Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Technical University of Catalonia, Barcelona, Spain

    Fatos Xhafa

  3. Open University of Catalonia, Barcelona, Spain

    Jordi Conesa

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Tsuchiya, G., Ikeda, M., Elmazi, D., Barolli, L., Kulla, E. (2018). A Disaster Information Gathering System Design Using Fuzzy Logic. In: Barolli, L., Xhafa, F., Conesa, J. (eds) Advances on Broad-Band Wireless Computing, Communication and Applications. BWCCA 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-319-69811-3_77

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  • DOI: https://doi.org/10.1007/978-3-319-69811-3_77

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69810-6

  • Online ISBN: 978-3-319-69811-3

  • eBook Packages: EngineeringEngineering (R0)

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