6533b825fe1ef96bd128262b
RESEARCH PRODUCT
5G IoT system for real-time psycho-acoustic soundscape monitoring in smart cities
Qi WangAdolfo Pastor-aparicioJaume Segura-garciaSantiago Felici-castellJose M. Alcaraz-calerosubject
020203 distributed computingSoundscapeComputer sciencebusiness.industryNode (networking)Real-time computingSampling (statistics)02 engineering and technologySmart city0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingEnhanced Data Rates for GSM EvolutionEnvironmental noiseInternet of Thingsbusiness5Gdescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2020-11-25 | Proceedings of the 10th Euro-American Conference on Telematics and Information Systems |