5G IoT system for real-time psycho-acoustic soundscape monitoring in smart cities

José M. Alcaraz-Calero; Jaume Segura-Garcia; Adolfo Pastor-Aparicio; Santiago Felici-Castell; Qi Wang

doi:10.1145/3401895.3402054

5G IoT system for real-time psycho-acoustic soundscape monitoring in smart cities

José M. Alcaraz-Calero, Jaume Segura-Garcia, Adolfo Pastor-Aparicio, Santiago Felici-Castell, Qi Wang

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

In Next-Generation Technologies, the monitoring of environmental noise nuisance in the Smart City should be as efficient as possible. 5G IoT systems offer a great opportunity to offload the node calculation, as they provide a number of new concepts for dynamic computing that previous technologies did not offer. In this case, a complete 5G IoT system for psycho-acoustic monitoring has been implemented using different options to offload the calculation of the parameters to different parts of the system. This offloading has been implemented by directly computing the metrics in the node (as a Raspberry Pi), and in a ESP32 device (FiPy) and by sampling the audio and sending it to the EDGE in the psycho-acoustic metrics algorithm in order to evaluate the performance of the system and has been compared with the calculation at the node itself.

Original language	Spanish
Title of host publication	EATIS '20: Proceedings of the 10th Euro-American Conference on Telematics and Information Systems
Publisher	ACM
Number of pages	8
DOIs	https://doi.org/10.1145/3401895.3402054
Publication status	Published - Nov 2020

Keywords

5G IoT
psycho-acoustics
smart city
soundscape monitoring

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10.1145/3401895.3402054

Cite this

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title = "5G IoT system for real-time psycho-acoustic soundscape monitoring in smart cities",

abstract = "In Next-Generation Technologies, the monitoring of environmental noise nuisance in the Smart City should be as efficient as possible. 5G IoT systems offer a great opportunity to offload the node calculation, as they provide a number of new concepts for dynamic computing that previous technologies did not offer. In this case, a complete 5G IoT system for psycho-acoustic monitoring has been implemented using different options to offload the calculation of the parameters to different parts of the system. This offloading has been implemented by directly computing the metrics in the node (as a Raspberry Pi), and in a ESP32 device (FiPy) and by sampling the audio and sending it to the EDGE in the psycho-acoustic metrics algorithm in order to evaluate the performance of the system and has been compared with the calculation at the node itself.",

keywords = "5G IoT, psycho-acoustics, smart city, soundscape monitoring",

author = "Alcaraz-Calero, {Jos{\'e} M.} and Jaume Segura-Garcia and Adolfo Pastor-Aparicio and Santiago Felici-Castell and Qi Wang",

year = "2020",

month = nov,

doi = "10.1145/3401895.3402054",

language = "Spanish",

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T1 - 5G IoT system for real-time psycho-acoustic soundscape monitoring in smart cities

AU - Alcaraz-Calero, José M.

AU - Segura-Garcia, Jaume

AU - Pastor-Aparicio, Adolfo

AU - Felici-Castell, Santiago

AU - Wang, Qi

PY - 2020/11

Y1 - 2020/11

N2 - In Next-Generation Technologies, the monitoring of environmental noise nuisance in the Smart City should be as efficient as possible. 5G IoT systems offer a great opportunity to offload the node calculation, as they provide a number of new concepts for dynamic computing that previous technologies did not offer. In this case, a complete 5G IoT system for psycho-acoustic monitoring has been implemented using different options to offload the calculation of the parameters to different parts of the system. This offloading has been implemented by directly computing the metrics in the node (as a Raspberry Pi), and in a ESP32 device (FiPy) and by sampling the audio and sending it to the EDGE in the psycho-acoustic metrics algorithm in order to evaluate the performance of the system and has been compared with the calculation at the node itself.

AB - In Next-Generation Technologies, the monitoring of environmental noise nuisance in the Smart City should be as efficient as possible. 5G IoT systems offer a great opportunity to offload the node calculation, as they provide a number of new concepts for dynamic computing that previous technologies did not offer. In this case, a complete 5G IoT system for psycho-acoustic monitoring has been implemented using different options to offload the calculation of the parameters to different parts of the system. This offloading has been implemented by directly computing the metrics in the node (as a Raspberry Pi), and in a ESP32 device (FiPy) and by sampling the audio and sending it to the EDGE in the psycho-acoustic metrics algorithm in order to evaluate the performance of the system and has been compared with the calculation at the node itself.

KW - 5G IoT

KW - psycho-acoustics

KW - smart city

KW - soundscape monitoring

UR - https://dl.acm.org/doi/10.1145/3401895.3402054

U2 - 10.1145/3401895.3402054

DO - 10.1145/3401895.3402054

M3 - Conference publication

BT - EATIS '20: Proceedings of the 10th Euro-American Conference on Telematics and Information Systems

PB - ACM

ER -

5G IoT system for real-time psycho-acoustic soundscape monitoring in smart cities

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Keywords

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