Noise pollution has been an issue since ancient times. Recently, this problem has been exacerbated due to rapid population growth and urbanization. Noise mapping is a strategic action plan that visualizes the long-term and real-time noise pollution of our cities, industrial sites, and other regions of interest. This article first discusses the working principle of general model-based noise mapping and the lessons learned. Then, in-depth descriptions of the technical challenges and design issues of noise mapping using mobile crowdsensing and acoustic sensor networks are presented. Finally, we provide our insights for future research directions regarding artificial intelligence assisted noise prediction, constructive interference for multimedia transmission, and simultaneous noise sensing and sound energy harvesting as well as inaudible sound attacks and defense.

中文翻译：

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智慧城市噪声测绘物联网：最新技术和未来方向


噪音污染自古以来就是一个问题。最近，由于人口快速增长和城市化，这一问题变得更加严重。噪声测绘是一项战略行动计划，可直观地显示城市、工业场地和其他感兴趣区域的长期实时噪声污染情况。本文首先讨论了基于模型的噪声映射的工作原理和经验教训。然后，深入描述了使用移动群智和声学传感器网络进行噪声测绘的技术挑战和设计问题。最后，我们对人工智能辅助噪声预测、多媒体传输的相长干扰、同步噪声传感和声音能量收集以及听不见的声音攻击和防御等未来研究方向提供了见解。