5G IOT system for real-time psycho-acoustic soundscape monitoring in smart cities with dynamic computational offloading to the edge

Jaume Segura-Garcia, Jose M. Alcaraz Calero, Adolfo Pastor-Aparicio, Ricardo Marco-Alaez, Santiago Felici-Castell, Qi Wang

    Research output: Contribution to journalArticlepeer-review

    10 Citations (Scopus)
    305 Downloads (Pure)

    Abstract

    Environmental noise monitoring for smart cities need to be as much efficient as possible in order to mitigate its significant impact in the health of their inhabitants. 5G Internet of Things (IoT) systems offer a big opportunity to offload the computation from the sensor nodes, since it provides a series of new concepts for dynamic computing that the previous technologies did not offer. In this article, a complete 5G IoT system for psycho-acoustic monitoring has been designed and implemented using different options for offloading computation to different parts of the system. This offloading has been done by developing different functional splittings of the psycho-acoustic metrics algorithms to allocate such splits in different locations. Finally, a performance comparison among different functional splittings and their implementation are shown with a detailed discussion.

    Original languageEnglish
    Article number9367289
    Pages (from-to)12467-12475
    Number of pages9
    JournalIEEE Internet of Things Journal
    Volume8
    Issue number15
    Early online date3 Mar 2021
    DOIs
    Publication statusPublished - 1 Aug 2021

    Keywords

    • 5G
    • internet of things (IoT)
    • psycho-acoustic
    • soundscape monitoring
    • functional splitting
    • Smart City

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