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Soundscape monitoring of modified psychoacoustic annoyance with Next-Generation EDGE computing and IoT

  • Jaume Segura-García*
  • , Jesus Lopez-Ballester
  • , Santiago Felici-Castell
  • , Juan J. Perez-Solano
  • , Jose M. Alcaraz-Calero
  • , Rafael Fayos-Jordan
  • , Enrique A. Navarro-Camba
  • , Antonio Soriano-Asensi
  • , Juan M. Navarro-Ruiz
  • *Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    12 Downloads (Pure)

    Abstract

    The environmental psycho-acoustic annoyance is an important metric in the Smart City with Next Generation technologies. The use of such technologies can help to rapidly deploy large quantity of elements, which can dynamically be used for different applications. Also, the psycho-acoustic annoyance is usually based on the Zwicker's model, but this model does not consider tonality of sounds to weight the subjective nuisance produced. In this work, we show a on-going work for the implementation of the nodes and EDGE/Fog to determine a modified version of the Zwicker's model, to consider sound tonality (based on Aures' method). This implementation has been designed to consider two options for offloading, one with sampling and computation on the EDGE and another with sampling in 5G-nodes and computation on the EDGE.

    Original languageEnglish
    Title of host publicationEATIS '22
    Subtitle of host publicationProceedings of the 11th Euro-American Conference on Telematics and Information Systems
    PublisherAssociation for Computing Machinery
    Number of pages4
    ISBN (Electronic)9781450397391
    DOIs
    Publication statusPublished - 1 Jun 2022
    Event11th Euro-American Conference on Telematics and Information Systems, EATIS 2022 - Aveiro, Portugal
    Duration: 1 Jun 20223 Jun 2022

    Publication series

    NameACM International Conference Proceeding Series

    Conference

    Conference11th Euro-American Conference on Telematics and Information Systems, EATIS 2022
    Country/TerritoryPortugal
    CityAveiro
    Period1/06/223/06/22

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 11 - Sustainable Cities and Communities
      SDG 11 Sustainable Cities and Communities

    Keywords

    • EDGE
    • IoT
    • Matlab
    • psycho-acoustics
    • tonality

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