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A Takagi-Sugeno Fuzzy-Based Adaptive Transmission Method in Wireless Sensor Networks

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Advances on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 343))

Abstract

Clustering, data compression and screening of sensor data, optimization methods and other intelligent approaches to increase the lifetime of sensor networks have been widely researched. In this paper, we propose an intelligent adaptive transmission control system based on Takagi-Sugeno (T-S) fuzzy inference model in Wireless Sensor Networks (WSNs). From the evaluation results, we observed that the proposed method reduces the number of transmissions by considering multiple parameters compared with the conventional method.

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Authors and Affiliations

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

    Daisuke Nishii

  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

Authors
  1. Daisuke Nishii
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  2. Makoto Ikeda
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  3. Leonard Barolli
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Corresponding author

Correspondence to Makoto Ikeda .

Editor information

Editors and Affiliations

  1. Dept of Info and Communication Engg, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

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Nishii, D., Ikeda, M., Barolli, L. (2022). A Takagi-Sugeno Fuzzy-Based Adaptive Transmission Method in Wireless Sensor Networks. In: Barolli, L. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2021. Lecture Notes in Networks and Systems, vol 343. Springer, Cham. https://doi.org/10.1007/978-3-030-89899-1_30

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  • DOI: https://doi.org/10.1007/978-3-030-89899-1_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-89898-4

  • Online ISBN: 978-3-030-89899-1

  • eBook Packages: EngineeringEngineering (R0)

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