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

Jaume Segura-Garcia (), Juan J. Pérez-Solano, Santiago Felici-Castell, José Montoya-Belmonte, Jesus Lopez-Ballester and Juan Miguel Navarro
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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

Sustainability, 2023, vol. 15, issue 13, 1-12

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.

Keywords: 5G-enabled IoT; sound-quality metrics; psycho-acoustic annoyance; JND (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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