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An Acoustic Complexity Index Sensor for Underwater Applications

机译：水下应用的声学复杂度指数传感器

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摘要

Underwater communications exploit acoustic signals to interconnect embedded systems deployed for various scientific, environmental, industrial, or security tasks. The engineering of networked devices in underwater environment is today considered a critical research challenge. The propagation of acoustic waves in water is characterized by low, distance-dependent bandwidth with high latency, and multi-path effects, which make it necessary the design of novel system-level solutions, communication protocols, and algorithms specifically tailored for these types of applications. This paper describes a novel hardware–software sensing platform for computing a synthetic index developed for marine ecology studies, called the acoustic complexity index. Computing this index entails performing the fast Fourier transform of signals in the range of audio frequencies. The adoption of a centralized approach/architecture would entail the transmission of the signals toward a sink for their processing, severely impacting communication efficiency. The development of the proposed low-power sensing module enables to carry on the computation on board of remote nodes, which work as virtual sensors. This reduces the communication burden (of about five orders of magnitude) with a negligible energy overhead due to on board computation.
机译：水下通信利用声音信号来互连部署用于各种科学，环境，工业或安全任务的嵌入式系统。如今，水下环境中联网设备的工程设计被认为是一项严峻的研究挑战。声波在水中的传播的特征在于低，与距离相关的带宽，高延迟以及多径效应，这使得有必要设计专门针对这些类型的信号的新型系统级解决方案，通信协议和算法。应用程序。本文介绍了一种新颖的软硬件传感平台，用于计算为海洋生态学研究开发的综合指标，即声学复​​杂性指标。计算该指数需要对音频范围内的信号执行快速傅立叶变换。采用集中式方法/体系结构将需要将信号传输到接收器以进行信号处理，从而严重影响通信效率。拟议的低功耗传感模块的开发能够在作为虚拟传感器的远程节点上进行计算。由于板载计算，这减少了通信负担（大约五个数量级），而能量开销却可以忽略不计。

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