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Underwater Acoustic Networks: An Acoustic Propagation Model for Simulation of Underwater Acoustic Networks

机译:水下声学网络:水声网络仿真的声传播模型

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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.

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