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RESEARCH PRODUCT
5G IoT System for Real-Time Psycho-Acoustic Soundscape Monitoring in Smart Cities With Dynamic Computational Offloading to the Edge
Qi WangRicardo Marco-alaezJose M. Alcaraz CaleroAdolfo Pastor-aparicioSantiago Felici-castellJaume Segura-garciasubject
SoundscapeComputer Networks and Communicationsbusiness.industryComputer scienceDistributed computingComputation020206 networking & telecommunications02 engineering and technologyComputer Science ApplicationsHardware and ArchitecturePerformance comparisonSmart citySignal Processing0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingEnhanced Data Rates for GSM EvolutionInternet of ThingsbusinessEnvironmental noise5GInformation Systemsdescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2021-08-01 | IEEE Internet of Things Journal |