5G IoT System for Real-Time Psycho-Acoustic Soundscape Monitoring in Smart Cities With Dynamic Computational Offloading to the Edge

被引：15

作者：

Segura-Garcia, Jaume ^{[1
]}

Calero, Jose M. Alcaraz ^{[3
]}

Pastor-Aparicio, Adolfo ^{[2
]}

Marco-Alaez, Ricardo ^{[4
]}

Felici-Castell, Santiago ^{[1
]}

Wang, Qi ^{[3
]}

机构：

[1] Univ Valencia, Escola Tecn Super Engn, Dept Comp Sci, Burjassot 46100, Spain

[2] EDICOM, Paterna 46980, Spain

[3] Univ West Scotland, Sch Comp Engn & Phys Sci, Paisley PA1 2BE, Renfrew, Scotland

[4] ATOS, F-95870 Bezons, France

来源：

IEEE INTERNET OF THINGS JOURNAL | 2021年 / 8卷 / 15期

基金：

欧盟地平线“2020”;

关键词：

Measurement; Monitoring; 5G mobile communication; Psychoacoustic models; Internet of Things; Computational modeling; Real-time systems; 5G; functional splitting; Internet of Things (IoT); psycho-acoustic; smart city; soundscape monitoring; NOISE;

D O I：

10.1109/JIOT.2021.3063520

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：12467 / 12475

页数：9

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