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Effect of Degree of Centrality Parameter on Actor Selection in WSANs: A Fuzzy-Based Simulation System and Its Performance Evaluation

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Advances on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC 2019)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 96))

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Abstract

The growth in sensor networks and importance of active devices in the physical world has led to the development of Wireless Sensor and Actor Networks (WSANs). WSANs consist of a large number of sensors and also a smaller number of actors. Whenever there is any emergency situation i.e., fire, earthquake, flood or enemy attack in the area, sensor nodes have the responsibility to sense it and send information towards an actor node. According to these data gathered, the actor nodes take a prompt action. In this work, we consider the actor node selection problem and propose a fuzzy-based system (FBS) that based on data provided by sensors and actors selects an appropriate actor node to carry out a task. We use 4 input parameters: Degree of Centrality (DoC), Distance to Event (DE), Power Consumption (PC) and Number of Sensors per Actor (NSA) and the output parameter is Actor Selection Decision (ASD).

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Author information

Authors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology (FIT), 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka, 811-0295, Japan

    Donald Elmazi, Makoto Ikeda, Keita Matsuo & Leonard Barolli

  2. Graduate School of Engineering, Fukuoka Institute of Technology (FIT), 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka, 811-0295, Japan

    Miralda Cuka

Authors
  1. Donald Elmazi
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  2. Miralda Cuka
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  3. Makoto Ikeda
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  4. Keita Matsuo
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  5. Leonard Barolli
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Corresponding author

Correspondence to Donald Elmazi .

Editor information

Editors and Affiliations

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

    Leonard Barolli

  2. University of Antwerp, Antwerpen, Belgium

    Peter Hellinckx

  3. Chiang Mai University, Chiang Mai, Thailand

    Juggapong Natwichai

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Elmazi, D., Cuka, M., Ikeda, M., Matsuo, K., Barolli, L. (2020). Effect of Degree of Centrality Parameter on Actor Selection in WSANs: A Fuzzy-Based Simulation System and Its Performance Evaluation. In: Barolli, L., Hellinckx, P., Natwichai, J. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2019. Lecture Notes in Networks and Systems, vol 96. Springer, Cham. https://doi.org/10.1007/978-3-030-33509-0_4

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  • DOI: https://doi.org/10.1007/978-3-030-33509-0_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-33508-3

  • Online ISBN: 978-3-030-33509-0

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