Energy Efficiency is Not Enough:Towards a Batteryless Internet of Sounds

V. Lostanlen, Antoine Bernabeu, Jean-Luc Béchennec, M. Briday, S. Faucou, M. Lagrange
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引用次数: 4

Abstract

This position paper advocates for digital sobriety in the design and usage of wireless acoustic sensors. As of today, these devices all rely on batteries, which are either recharged by a human operator or via solar panels. Yet, batteries contain chemical pollutants and have a shorter lifespan than electronic components: as such, they hinder the autonomy and sustainability of the Internet of Sounds at large. Against this problem, our radical answer is to avoid the use of batteries altogether; and instead, to harvest ambient energy in real time and store it in a supercapacitor allowing a few minutes of operation. We show the inherent limitations of battery-dependent technologies for acoustic sensing. Then, we describe how a low-cost Micro-Controller Unit (MCU) could serve for audio acquisition and feature extraction on the edge. In particular, we stress the advantage of storing intermediate computations in ferroelectric random-access memory (FeRAM), which is nonvolatile, fast, endurant and consumes little. As a proof of concept, we present a simple-minded detector of sine tones in background noise, which relies on a fixed-point implementation of the fast Fourier transform (FFT). We outline future directions towards bioacoustic event detection and urban acoustic monitoring without batteries nor wires.
光有能源效率是不够的:迈向无电池的声音互联网
本立场文件提倡在设计和使用无线声学传感器时保持数字清醒。到目前为止,这些设备都依赖于电池,要么由人工操作,要么通过太阳能电池板充电。然而,电池含有化学污染物,寿命比电子元件短:因此,它们阻碍了声音互联网的自主性和可持续性。针对这个问题,我们的激进答案是完全避免使用电池;取而代之的是,实时收集周围的能量并将其存储在超级电容器中,允许几分钟的运行。我们展示了依赖电池的声学传感技术的固有局限性。然后,我们描述了一个低成本的微控制器单元(MCU)如何用于边缘的音频采集和特征提取。我们特别强调了在铁电随机存取存储器(FeRAM)中存储中间计算的优势,它是非易失性的,快速的,持久的和消耗少的。作为概念证明,我们提出了一个简单的背景噪声正弦音检测器,它依赖于快速傅立叶变换(FFT)的定点实现。我们概述了未来生物声学事件检测和城市声学监测的方向,无需电池和电线。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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