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Shallow Water Acoustics for Random Area (SWARA)

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This paper presents mathematical modeling for combined attenuation response of acoustic signal travelled through multiple sink nodes from a source node to a destination node for shallow water applications. The link was considered for an imaginary underwater sensor network having 5 nodes including source node, destination node and transceivers with same communication range. The speed of sound wave is less compared to EM wave so delay introduced at receiving side due to channel geometry and attenuation occurred due to refraction and reflection from sea surface and bottom respectively. Thus achieving high rate communication for wide range of channel geometry is little bit tough so it is better to study mathematical phenomenon behind such a communication link to proceed towards precision. The simulation of multipath model scenario acoustic sensor network of was made with the help of Matlab and the results were found satisfactorily.

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  1. 1.

    Zielinski, A., Yoon, Y.-H., & Wu, L. (1995). Performance analysis of digital acoustic communication in a shallow water channel. IEEE Journal of Oceanic Engineering, 20(4), 293–299. doi:10.1109/48.468244.

  2. 2.

    Etter, P. C. (2003). Underwater acoustic modeling and simulation (3rd ed.). London, UK: Spon Press.

  3. 3.

    Lance, L., Conder, P., and Faulkner, M. (2008). Multiuser communications for underwater acoustic networks using MIMO-OFDM-IDMA. In ICSPCS 2008, 2nd international conference on signal processing and communication systems (pp. 1–8).

  4. 4.

    Coates, R. (1988). An empirical formula for computing the Beckmann–Spizzichino surface reflection loss coefficient. IEEE Transactions, 35(4), 522–523.

  5. 5.

    Brekhovskikh, L. M., & Lysanov, Y. (1982). Fundamentals of ocean acoustics (pp. 21–22). Berlin: Springer-Verlag.

  6. 6.

    Lurton, X. (2010). An introduction to underwater acoustics principles and application (2nd ed., pp. 75–114). Berlin: Springer-Verlag.

  7. 7.

    Urick, R. J. (1969). Intensity summation of modes and images in shallow-water sound transmission. Journal of Acoustic Society AMER, 46(3), 780–788.

  8. 8.

    Urick, R. (1990). Principles of underwater sound. In R. Coates (Ed.), Underwater acoustic systems (pp. 26–28). New York: McGraw-Hill.

  9. 9.

    Istepanian, Robert, & Stojanovic, Milica. (2002). underwater acoustic digital signal processing and communication systems (1st ed.). Boston: Kluwer Academic Publishers.

  10. 10.

    Sklar, Bernard. (2001). Digital communications fundamentals and applications (2nd ed.). New Jersey: Prentice Hall P T R.

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Correspondence to Sangram More.

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More, S., Naik, K.K. Shallow Water Acoustics for Random Area (SWARA). Wireless Pers Commun 96, 4079–4098 (2017). https://doi.org/10.1007/s11277-017-4369-y

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  • Attenuation
  • Delay
  • Reflection
  • Refraction
  • Shallow water acoustics
  • Underwater communication