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A Review of Channel Modeling Techniques for Internet of Underwater Things

机译:水下互联网互联网渠道建模技术综述

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Internet of underwater things (IoUT) attracts many interests in these years both in academia and industry, such as marine data collection, pollution monitoring, and offshore exploration. As a fundamental issue of IoUT, the underwater acoustic channel experiences long delay and temporal-spatial uncertainty compared with terrestrial communications and networks. It is difficult to capture full characteristics of the underwater acoustic channel by statistical models. In this paper, we investigate the properties of acoustic propagation in seawater and different underwater acoustic channel models. Moreover, we survey five underwater acoustic channel models, including ray-theoretical model, normal mode model, multipath expansion model, fast-field model, and parabolic equation model, which are the corresponding solutions of the wave equation. We conclude the paper with the characteristics of each model in terms of different aspects.
机译:随着海洋数据收集,污染监测和海上勘探等多年来,水下互联网(IOUT)吸引了许多兴趣。 作为IOUT的基本问题,与地面通信和网络相比,水下声道经历了长时间延迟和时间空间不确定性。 难以通过统计模型捕获水下声道通道的全部特征。 在本文中,我们研究了海水和不同水下声道模型中声学传播的性质。 此外,我们调查了五种水下声道模型,包括射线理论模型,正常模式模型,多路径扩展模型,快车场模型和抛物线方程模型,这是波动方程的相应解决方案。 我们在不同方面的各种模型的特征结束了本文。

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