Underwater acoustic networks an acoustic propagation model for simulation of underwater acoustic networks

Approved for public release, distribution unlimited === Underwater Acoustic Networks (UANs) hold enormous potential for both military and civilian applications. However, current networking protocols implemented are often sub-optimal, resulting in severely underutilized networks. We believe one of...

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Main Author: Solorzano, Leopoldo Jesus Diaz Gonzalez
Other Authors: Xie, Geoffrey
Format: Others
Published: Monterey, California. Naval Postgraduate School 2012
Subjects:
Online Access:http://hdl.handle.net/10945/1792
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spelling ndltd-nps.edu-oai-calhoun.nps.edu-10945-17922017-05-24T16:07:20Z Underwater acoustic networks an acoustic propagation model for simulation of underwater acoustic networks Solorzano, Leopoldo Jesus Diaz Gonzalez Xie, Geoffrey Gibson, John Naval Postgraduate School (U.S.). Department of Computer Science Computer science Underwater acoustics Software engineering Approved for public release, distribution unlimited Underwater Acoustic Networks (UANs) hold enormous potential for both military and civilian applications. However, current networking protocols implemented are often sub-optimal, resulting in severely underutilized networks. We believe one of the key reasons for this shortcoming is a lack of good underwater acoustic propagation models for simulation packages used to evaluate UAN protocols. This thesis addresses this problem by developing a computationally-efficient approximation of a sophisticated analytical model called Monterey-Miami Parabolic Equation model (MMPE). The approximation can then be used to support UAN simulations. The characteristics of the problem make a statistical approach the methodology of choice for this study. Data was generated using the MMPE model. The data was used to develop a much less complex approximation for which an OpNet simulation module could be developed. The latter allows UAN operation to be modeled over a collection of nodes and over an interval of time, rather than a single point in time between two specific nodes, as modeled by the original equation. The result of this research can enable a more complete analysis of network enabling protocols and support more informed decisions regarding the appropriate node topology and protocols to use in order to increase network performance. 2012-03-14T17:33:06Z 2012-03-14T17:33:06Z 2005-12 Thesis http://hdl.handle.net/10945/1792 63118712 Approved for public release, distribution unlimited This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, it may not be copyrighted xvi, 95 p. : ill. ; application/pdf Monterey, California. Naval Postgraduate School
collection NDLTD
format Others
sources NDLTD
topic Computer science
Underwater acoustics
Software engineering
spellingShingle Computer science
Underwater acoustics
Software engineering
Solorzano, Leopoldo Jesus Diaz Gonzalez
Underwater acoustic networks an acoustic propagation model for simulation of underwater acoustic networks
description Approved for public release, distribution unlimited === Underwater Acoustic Networks (UANs) hold enormous potential for both military and civilian applications. However, current networking protocols implemented are often sub-optimal, resulting in severely underutilized networks. We believe one of the key reasons for this shortcoming is a lack of good underwater acoustic propagation models for simulation packages used to evaluate UAN protocols. This thesis addresses this problem by developing a computationally-efficient approximation of a sophisticated analytical model called Monterey-Miami Parabolic Equation model (MMPE). The approximation can then be used to support UAN simulations. The characteristics of the problem make a statistical approach the methodology of choice for this study. Data was generated using the MMPE model. The data was used to develop a much less complex approximation for which an OpNet simulation module could be developed. The latter allows UAN operation to be modeled over a collection of nodes and over an interval of time, rather than a single point in time between two specific nodes, as modeled by the original equation. The result of this research can enable a more complete analysis of network enabling protocols and support more informed decisions regarding the appropriate node topology and protocols to use in order to increase network performance.
author2 Xie, Geoffrey
author_facet Xie, Geoffrey
Solorzano, Leopoldo Jesus Diaz Gonzalez
author Solorzano, Leopoldo Jesus Diaz Gonzalez
author_sort Solorzano, Leopoldo Jesus Diaz Gonzalez
title Underwater acoustic networks an acoustic propagation model for simulation of underwater acoustic networks
title_short Underwater acoustic networks an acoustic propagation model for simulation of underwater acoustic networks
title_full Underwater acoustic networks an acoustic propagation model for simulation of underwater acoustic networks
title_fullStr Underwater acoustic networks an acoustic propagation model for simulation of underwater acoustic networks
title_full_unstemmed Underwater acoustic networks an acoustic propagation model for simulation of underwater acoustic networks
title_sort underwater acoustic networks an acoustic propagation model for simulation of underwater acoustic networks
publisher Monterey, California. Naval Postgraduate School
publishDate 2012
url http://hdl.handle.net/10945/1792
work_keys_str_mv AT solorzanoleopoldojesusdiazgonzalez underwateracousticnetworksanacousticpropagationmodelforsimulationofunderwateracousticnetworks
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