Practical considerations for acoustic source localization in the IoT era: Platforms, energy efficiency, and performance
![Thumbnail](/xmlui/bitstream/handle/10234/184043/IEEE_Internet_of_Things_Journal.pdf.jpg?sequence=4&isAllowed=y)
Visualitza/
Impacte
![Google Scholar](/xmlui/themes/Mirage2/images/uji/logo_google.png)
![Microsoft Academico](/xmlui/themes/Mirage2/images/uji/logo_microsoft.png)
Metadades
Mostra el registre complet de l'elementcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/8620
comunitat-uji-handle4:
INVESTIGACIONMetadades
Títol
Practical considerations for acoustic source localization in the IoT era: Platforms, energy efficiency, and performanceData de publicació
2019-06Editor
IEEECita bibliogràfica
BELLOCH, Jose A., et al. Practical Considerations for Acoustic Source Localization in the IoT Era: Platforms, Energy Efficiency and Performance. IEEE Internet of Things Journal, 2019, 6.3: 5068-5079Tipus de document
info:eu-repo/semantics/articleVersió de l'editorial
https://ieeexplore.ieee.org/abstract/document/8627929Versió
info:eu-repo/semantics/submittedVersionParaules clau / Matèries
Resum
The rapid development of the Internet of Things (IoT) has posed important changes in the way emerging acoustic signal processing applications are conceived. While traditional acoustic processing applications have been ... [+]
The rapid development of the Internet of Things (IoT) has posed important changes in the way emerging acoustic signal processing applications are conceived. While traditional acoustic processing applications have been developed taking into account high-throughput computing platforms equipped with expensive multichannel audio interfaces, the IoT paradigm is demanding the use of more flexible and energy-efficient systems. In this context, algorithms for source localization and ranging in wireless acoustic sensor networks can be considered an enabling technology for many IoT-based environments, including security, industrial, and health-care applications. This paper is aimed at evaluating important aspects dealing with the practical deployment of IoT systems for acoustic source localization. Recent systems-on-chip composed of low-power multicore processors, combined with a small graphics accelerator (or GPU), yield a notable increment of the computational capacity needed in intensive signal processing algorithms while partially retaining the appealing low power consumption of embedded systems. Different algorithms and implementations over several state-of-the-art platforms are discussed, analyzing important aspects, such as the tradeoffs between performance, energy efficiency, and exploitation of parallelism by taking into account real-time constraints. [-]
Proyecto de investigación
Generalitat Valenciana (Grant APOSTD/2016/069) ; Spanish Government (Grant TIN2014-53495-R, Grant TIN2015-65277-R, and Grant BIA2016-76957-C3-1-R) ; Universidad Jaume I (Project UJI-B2016-20)Drets d'accés
© Copyright 2019 IEEE - All rights reserved.
http://rightsstatements.org/vocab/InC/1.0/
info:eu-repo/semantics/openAccess
http://rightsstatements.org/vocab/InC/1.0/
info:eu-repo/semantics/openAccess
Apareix a les col.leccions
- ICC_Articles [427]