| Title |
5G IoT system for real-time psycho-acoustic soundscape monitoring in Smart Cities |
| ID_Doc |
40623 |
| Authors |
Alcaraz-Calero, JM; Segura-Garcia, J; Pastor-Aparicio, A; Felici-Castell, S; Wang, Q |
| Title |
5G IoT system for real-time psycho-acoustic soundscape monitoring in Smart Cities |
| Year |
2020 |
| Published |
|
| DOI |
10.1145/3401895.3402054 |
| 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. |
| Author Keywords |
5G IoT; Psycho-acoustics; Soundscape monitoring; Smart City |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000717043600025 |
| WoS Category |
Computer Science, Information Systems; Computer Science, Theory & Methods; Telecommunications |
| Research Area |
Computer Science; Telecommunications |
| PDF |
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