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

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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 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 paper, a complete 5G IoT system for psychoacoustic 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 number3063520
Number of pages8
JournalIEEE Internet of Things Journal
Volume8
Issue number15
Early online date3 Mar 2021
DOIs
Publication statusE-pub ahead of print - 3 Mar 2021

Keywords

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

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