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Sustainable Soundscape Monitoring of Modified Psycho-Acoustic Annoyance Model with Edge Computing for 5G IoT Systems

Author

Listed:
  • Jaume Segura-Garcia

    (Department of Computer Science, ETSE—Universitat de Valencia, 46100 Burjassot, Spain)

  • Juan J. Pérez-Solano

    (Department of Computer Science, ETSE—Universitat de Valencia, 46100 Burjassot, Spain)

  • Santiago Felici-Castell

    (Department of Computer Science, ETSE—Universitat de Valencia, 46100 Burjassot, Spain)

  • José Montoya-Belmonte

    (Research Group in Advanced Telecommunications (GRITA), UCAM Universidad Católica de Murcia, 30107 Guadalupe, Spain)

  • Jesus Lopez-Ballester

    (Department of Computer Science, ETSE—Universitat de Valencia, 46100 Burjassot, Spain)

  • Juan Miguel Navarro

    (Research Group in Advanced Telecommunications (GRITA), UCAM Universidad Católica de Murcia, 30107 Guadalupe, Spain)

Abstract

Next-generation IoT systems will allow sustainable performance in long-term monitoring systems. This sustainability concept applies to soundscape description, as it allows monitoring in urban environments. In this work, the implementation of psycho-acoustic annoyance models in a 5G-enabled IoT system is proposed, applying two edge-computing approaches. A modified Zwicker’s model is adopted in this research, introducing a term that takes into account the tonal component of the captured sound. These implementations have been validated in a measurement campaign where several IoT devices have been deployed to evaluate different sound environments of a university campus. Then, the analysis of the sound-quality metrics is conducted in a different location, showing that if tonality is present in a noisy environment, it results in greater subjective annoyance. Moreover, the Just-Noticeable Difference of these results is derived from Zwicker’s psycho-acoustic annoyance to establish a limitation for this metric.

Suggested Citation

  • Jaume Segura-Garcia & Juan J. Pérez-Solano & Santiago Felici-Castell & José Montoya-Belmonte & Jesus Lopez-Ballester & Juan Miguel Navarro, 2023. "Sustainable Soundscape Monitoring of Modified Psycho-Acoustic Annoyance Model with Edge Computing for 5G IoT Systems," Sustainability, MDPI, vol. 15(13), pages 1-12, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:10016-:d:1178417
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    References listed on IDEAS

    as
    1. Daniel Bonet-Solà & Carme Martínez-Suquía & Rosa Ma Alsina-Pagès & Pau Bergadà, 2021. "The Soundscape of the COVID-19 Lockdown: Barcelona Noise Monitoring Network Case Study," IJERPH, MDPI, vol. 18(11), pages 1-30, May.
    2. Miki Yonemura & Hyojin Lee & Shinichi Sakamoto, 2021. "Subjective Evaluation on the Annoyance of Environmental Noise Containing Low-Frequency Tonal Components," IJERPH, MDPI, vol. 18(13), pages 1-14, July.
    Full references (including those not matched with items on IDEAS)

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