Journal
IEEE NETWORK
Volume 34, Issue 4, Pages 112-118Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MNET.011.1900634
Keywords
Computational modeling; Smart phones; Crowdsensing; Noise measurement; Atmospheric modeling; Working environment noise; Monitoring
Categories
Funding
- National Natural Science Foundation of China [61902188]
- Fundamental Research Funds for the Central Universities [KJQN202047]
- China Postdoctoral Science Foundation [2019M651713]
- Science and Technology Planning Project of Guangdong Province [2017A050506057]
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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.
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