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Cognitive Computing and Cyber Physical Systems. 4th EAI International Conference, IC4S 2023, Bhimavaram, Andhra Pradesh, India, August 4-6, 2023, Proceedings, Part II

Research Article

Transmission Losses Due to Surface Reflections in Deep Water for Multipath Model

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BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-48891-7_23,
        author={Veera Venkata Ramana Kandi and Pulugujju Rajesh and S V Kiranmayi Sridhara and P U V S N Pavan Kumar Nalam and B Srinivasa Seshagiri Rao and M Ravi Sankar and Ch. Venkateswara Rao},
        title={Transmission Losses Due to Surface Reflections in Deep Water for Multipath Model},
        proceedings={Cognitive Computing and Cyber Physical Systems. 4th EAI International Conference, IC4S 2023,  Bhimavaram, Andhra Pradesh, India, August 4-6, 2023, Proceedings, Part II},
        proceedings_a={IC4S PART 2},
        year={2024},
        month={1},
        keywords={Absorption Attenuation Acoustic channel Deepwater Sound speed Temperature Transmission loss Salinity Surface reflection},
        doi={10.1007/978-3-031-48891-7_23}
    }
    
  • Veera Venkata Ramana Kandi
    Pulugujju Rajesh
    S V Kiranmayi Sridhara
    P U V S N Pavan Kumar Nalam
    B Srinivasa Seshagiri Rao
    M Ravi Sankar
    Ch. Venkateswara Rao
    Year: 2024
    Transmission Losses Due to Surface Reflections in Deep Water for Multipath Model
    IC4S PART 2
    Springer
    DOI: 10.1007/978-3-031-48891-7_23
Veera Venkata Ramana Kandi1, Pulugujju Rajesh2, S V Kiranmayi Sridhara1, P U V S N Pavan Kumar Nalam1, B Srinivasa Seshagiri Rao3, M Ravi Sankar1, Ch. Venkateswara Rao1,*
  • 1: Department of ECE
  • 2: Department of ECE, B V Raju Institute of Technology
  • 3: Physics and Electronics Department
*Contact email: venkateswararao.c@vishnu.edu.in

Abstract

There are several factors which introduces transmission losses in deep water such as: surface reflections; surface ducts; bottom bounce; convergence zones; deep sound channel; reliable acoustic path; and ambient noise. Hence, it is crucial to model the acoustic channel characteristics and evaluate the effect of transmission losses by considering aforementioned factors inorder to employ the network for specific application. This study primarily aims to estimate the transmission losses caused by surface reflections in deep water environments using a multipath acoustic channel model. The simulation is conducted, considering the impact of absorption, sound speed, temperature, and salinity. The depth of the network scenario is varied to analyze the effects of these factors on the transmission losses. It is evident from simulation results, the acoustic velocity increased by 250 m/s when the depth varies from 100 m to 7000 m and temperature decreased from 30 ℃ to 4 ℃. Similarly, when the salinity increased from 30 ppt to 35 ppt, the acoustic velocity has been increased by 7.14% in deep water. An increase in transmission loss of 5 dB has been attained when the wind speed (W) increased from 4 m/s to 12.5 m/s. Similarly, the transmission losses are increased by 8 dB when the angle of incidence (Theta) increased from 20° to 30°.

Keywords
Absorption Attenuation Acoustic channel Deepwater Sound speed Temperature Transmission loss Salinity Surface reflection
Published
2024-01-05
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-48891-7_23
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