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

doi:10.1109/JIOT.2021.3063520

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 journal › Article › peer-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 language	English
Article number	9367289
Pages (from-to)	12467-12475
Number of pages	9
Journal	IEEE Internet of Things Journal
Volume	8
Issue number	15
Early online date	3 Mar 2021
DOIs	https://doi.org/10.1109/JIOT.2021.3063520
Publication status	Published - 1 Aug 2021

Keywords

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

UN SDGs

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

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10.1109/JIOT.2021.3063520

2021 03 01 Segura-Garcia et al IOT acceptedAccepted author manuscript, 1.64 MB

Cite this

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

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.",

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doi = "10.1109/JIOT.2021.3063520",

language = "English",

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5G IOT system for real-time psycho-acoustic soundscape monitoring in smart cities with dynamic computational offloading to the edge. / Segura-Garcia, Jaume; Alcaraz Calero, Jose M.; Pastor-Aparicio, Adolfo et al.
In: IEEE Internet of Things Journal, Vol. 8, No. 15, 9367289, 01.08.2021, p. 12467-12475.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - 5G IOT system for real-time psycho-acoustic soundscape monitoring in smart cities with dynamic computational offloading to the edge

AU - Segura-Garcia, Jaume

AU - Alcaraz Calero, Jose M.

AU - Pastor-Aparicio, Adolfo

AU - Marco-Alaez, Ricardo

AU - Felici-Castell, Santiago

AU - Wang, Qi

PY - 2021/8/1

Y1 - 2021/8/1

N2 - 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.

AB - 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.

KW - 5G

KW - internet of things (IoT)

KW - psycho-acoustic

KW - soundscape monitoring

KW - functional splitting

KW - Smart City

U2 - 10.1109/JIOT.2021.3063520

DO - 10.1109/JIOT.2021.3063520

M3 - Article

SN - 2327-4662

VL - 8

SP - 12467

EP - 12475

JO - IEEE Internet of Things Journal

JF - IEEE Internet of Things Journal

IS - 15

M1 - 9367289

ER -

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

Abstract

Keywords

UN SDGs

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