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Novel Channel Fuzzy Logic System Modeling for Aquatic Acoustic Wireless Communication Within a Tank

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Soft Computing and Its Engineering Applications (icSoftComp 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2031))

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Abstract

This research explores underwater wireless communication in confined spaces, specifically water tanks, departing from the common focus on seawater in 5G networks. The study employs a unique system model using fuzzy logic techniques to analyze the impact of underwater applications. Unlike traditional sonar models, the approach emphasizes secured data transmission based on constraint statements, addressing signal attenuation in sodium chloride-saturated tanks. A tailored attenuation model and a multipath propagation model are developed to counter challenges like inter-symbol interference and protocol latency. Considering the tank’s properties, a channel propagation model is designed for reliable communication. The study introduces a Wireless Channel propagation model to calculate signal coverage area. Using the Fuzzy Logic tool in MATLAB, simulations evaluate attenuation, multipath components, and coverage area for acoustic signals in the underwater frequency range. Fuzzy logic analysis provides comprehensive insights into underwater communication dynamics, specifically assessing the attenuation of acoustic frequency signals.

Supported by CHARUSAT and Dr. Subhash University

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Author information

Authors and Affiliations

  1. Department of Electronics and Communications Engineering, SOET, Dr. Subhash University, Junagadh, Gujarat, India

    Sweta Panchal & Sandip Panchal

  2. Department of Electronics and Communications Engineering, CSPIT, CHARUSAT, Changa, Gujarat, India

    Sagar Patel

Authors
  1. Sweta Panchal
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  2. Sagar Patel
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  3. Sandip Panchal
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Corresponding author

Correspondence to Sagar Patel .

Editor information

Editors and Affiliations

  1. Charotar University of Science and Technology, Changa, India

    Kanubhai K. Patel

  2. University of South Dakota, Vermillion, SD, USA

    KC Santosh

  3. Charotar University of Science and Technology, Changa, India

    Atul Patel

  4. Indian Statistical Institute, Kolkata, India

    Ashish Ghosh

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Panchal, S., Patel, S., Panchal, S. (2024). Novel Channel Fuzzy Logic System Modeling for Aquatic Acoustic Wireless Communication Within a Tank. In: Patel, K.K., Santosh, K., Patel, A., Ghosh, A. (eds) Soft Computing and Its Engineering Applications. icSoftComp 2023. Communications in Computer and Information Science, vol 2031. Springer, Cham. https://doi.org/10.1007/978-3-031-53728-8_9

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  • DOI: https://doi.org/10.1007/978-3-031-53728-8_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-53727-1

  • Online ISBN: 978-3-031-53728-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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