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Cognitive Computing and Cyber Physical Systems. Third EAI International Conference, IC4S 2022, Virtual Event, November 26-27, 2022, Proceedings

Research Article

Analysis of Acoustic Channel Model Characteristics in Deep-Sea Water

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-28975-0_20,
        author={Ch. Venkateswara Rao and M. Ravi Sankar and P. S R Charan and V. Bavya Sri and A. Bhaavan Sri Sailesh and M. Sri Uma Suseela and N. Padmavathy},
        title={Analysis of Acoustic Channel Model Characteristics in Deep-Sea Water},
        proceedings={Cognitive Computing and Cyber Physical Systems. Third EAI International Conference, IC4S 2022, Virtual Event, November 26-27, 2022, Proceedings},
        proceedings_a={IC4S},
        year={2023},
        month={3},
        keywords={Absorption Acoustic Channel Deepsea Sound Speed Temperature Transmission Loss Salinity},
        doi={10.1007/978-3-031-28975-0_20}
    }
    
  • Ch. Venkateswara Rao
    M. Ravi Sankar
    P. S R Charan
    V. Bavya Sri
    A. Bhaavan Sri Sailesh
    M. Sri Uma Suseela
    N. Padmavathy
    Year: 2023
    Analysis of Acoustic Channel Model Characteristics in Deep-Sea Water
    IC4S
    Springer
    DOI: 10.1007/978-3-031-28975-0_20
Ch. Venkateswara Rao1,*, M. Ravi Sankar2, P. S R Charan1, V. Bavya Sri1, A. Bhaavan Sri Sailesh1, M. Sri Uma Suseela1, N. Padmavathy1
  • 1: Department of ECE, Vishnu Institute of Technology
  • 2: Department of ECE
*Contact email: venkateswararao.c@vishnu.edu.in

Abstract

Undersea acoustic communications have drawn a lot of attention recently as their uses start to transition from military to commercial. The acoustic properties of the ocean are characterized by their tremendous complexity and dynamic nature. The parameters such as; depth, temperature, salinity, location, time of day, and season of the underwater medium influences the acoustic signal propagation. However, these medium parameters are varying arbitrarily depending upon shallow and deep-water divisions of the ocean. In addition to the medium parameters, the characteristics of the acoustic channel (transmission loss, absorption and multi-path) are affected by variation in the acoustic signal speed in underwater. The influence of the aforementioned parameters alters the velocity of acoustic transmission, which affects network connectivity. Because research in the undersea environment is expanding rapidly, proficient channel modelling is required to demonstrate the effect of sound speed variations with respect to medium parameters. As a result, an acoustic channel has been modelled in this work, which analyses the sound speed variation in deep water with respect to underwater medium parameters. In addition, the proposed model evaluates absorption and transmission losses in a deep-water scenario.

Keywords
Absorption Acoustic Channel Deepsea Sound Speed Temperature Transmission Loss Salinity
Published
2023-03-25
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-28975-0_20
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