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Wireless acoustic sensor networks and edge computing for rapid acoustic monitoring

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journal contribution
posted on 2023-06-09, 15:52 authored by Zhengguo ShengZhengguo Sheng, Saskia Pfersich, Alice EldridgeAlice Eldridge, Jianshan Zhou, Daxin Tian, Victor C M Leung
Passive acoustic monitoring is emerging as a promising solution to the urgent, global need for new biodiversity assessment methods. The ecological relevance of the soundscape is increasingly recognised, and the affordability of robust hardware for remote audio recording is stimulating international interest in the potential for acoustic methods for biodiversity monitoring. The scale of the data involved requires automated methods, however, the development of acoustic sensor networks capable of sampling the soundscape across time and space and relaying the data to an accessible storage location remains a significant technical challenge, with power management at its core. Recording and transmitting large quantities of audio data is power intensive, hampering long-term deployment in remote, off-grid locations of key ecological interest. Rather than transmitting heavy audio data, in this paper, we propose a low-cost and energy efficient wireless acoustic sensor network integrated with edge computing structure for remote acoustic monitoring and in situ analysis. Recording and computation of acoustic indices are carried out directly on edge devices built from low noise primo condenser microphones and Teensy microcontrollers, using internal FFT hardware support. Resultant indices are transmitted over a ZigBee-based wireless mesh network to a destination server. Benchmark tests of audio quality, indices computation and power consumption demonstrate acoustic equivalence and significant power savings over current solutions.

Funding

Humanising Algorithmic Listening; G2063; AHRC-ARTS & HUMANITIES RESEARCH COUNCIL; AH/P008429/1

History

Publication status

  • Published

File Version

  • Accepted version

Journal

IEEE/CAA Journal of Automatica Sinica

ISSN

2329-9266

Publisher

Institute of Electrical and Electronics Engineers

Issue

1

Volume

6

Page range

64-74

Department affiliated with

  • Engineering and Design Publications

Research groups affiliated with

  • Communications Research Group Publications
  • Sussex Humanities Lab Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2018-11-15

First Open Access (FOA) Date

2019-01-23

First Compliant Deposit (FCD) Date

2018-11-15

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