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Article

On the Challenges of Acoustic Energy Mapping Using a WASN: Synchronization and Audio Capture

by
Emiliano Ehecatl García-Unzueta
1,*,
Paul Erick Mendez-Monroy
2 and
Caleb Rascon
3
1
Posgrado de Ingeneria Electrica, Universidad Nacional Autónoma de México (UNAM), Universidad 3000, Mexico City 04510, Mexico
2
Unidad Académica del IIMAS en el Estado de Yucatán, Universidad Nacional Autónoma de México (UNAM), Parque Científico y Tecnológico de Yucatán, Yucatán 97302, Mexico
3
Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas (IIMAS), Universidad Nacional Autónoma de México (UNAM), Circuito Escolar 3000, Mexico City 04510, Mexico
*
Author to whom correspondence should be addressed.
Sensors 2023, 23(10), 4645; https://doi.org/10.3390/s23104645
Submission received: 15 April 2023 / Revised: 9 May 2023 / Accepted: 9 May 2023 / Published: 10 May 2023
(This article belongs to the Special Issue Reliability Analysis of Wireless Sensor Network)

Abstract

Acoustic energy mapping provides the functionality to obtain characteristics of acoustic sources, as: presence, localization, type and trajectory of sound sources. Several beamforming-based techniques can be used for this purpose. However, they rely on the difference of arrival times of the signal at each capture node (or microphone), so it is of major importance to have synchronized multi-channel recordings. A Wireless Acoustic Sensor Network (WASN) can be very practical to install when used for mapping the acoustic energy of a given acoustic environment. However, they are known for having low synchronization between the recordings from each node. The objective of this paper is to characterize the impact of current popular synchronization methodologies as part of the WASN to capture reliable data to be used for acoustic energy mapping. The two evaluated synchronization protocols are: Network Time Protocol (NTP) y Precision Time Protocol (PTP). Additionally, three different audio capture methodologies were proposed for the WASN to capture the acoustic signal: two of them, recording the data locally and one sending the data through a local wireless network. As a real-life evaluation scenario, a WASN was built using nodes conformed by a Raspberry Pi 4B+ with a single MEMS microphone. Experimental results demonstrate that the most reliable methodology is using the PTP synchronization protocol and audio recording locally.
Keywords: wireless acoustic sensor network; synchronization; beamforming; acoustic mapping wireless acoustic sensor network; synchronization; beamforming; acoustic mapping

Share and Cite

MDPI and ACS Style

García-Unzueta, E.E.; Mendez-Monroy, P.E.; Rascon, C. On the Challenges of Acoustic Energy Mapping Using a WASN: Synchronization and Audio Capture. Sensors 2023, 23, 4645. https://doi.org/10.3390/s23104645

AMA Style

García-Unzueta EE, Mendez-Monroy PE, Rascon C. On the Challenges of Acoustic Energy Mapping Using a WASN: Synchronization and Audio Capture. Sensors. 2023; 23(10):4645. https://doi.org/10.3390/s23104645

Chicago/Turabian Style

García-Unzueta, Emiliano Ehecatl, Paul Erick Mendez-Monroy, and Caleb Rascon. 2023. "On the Challenges of Acoustic Energy Mapping Using a WASN: Synchronization and Audio Capture" Sensors 23, no. 10: 4645. https://doi.org/10.3390/s23104645

APA Style

García-Unzueta, E. E., Mendez-Monroy, P. E., & Rascon, C. (2023). On the Challenges of Acoustic Energy Mapping Using a WASN: Synchronization and Audio Capture. Sensors, 23(10), 4645. https://doi.org/10.3390/s23104645

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