FROG: A Robust and Green Wireless Sensor Node for Fog Computing Platforms

Castillo Cara, Manuel, Huaranga Junco, Edgar, Quispe Montesinos, Milner, Orozco Barbosa, Luis y Arias Antúnez, Enrique . (2018) FROG: A Robust and Green Wireless Sensor Node for Fog Computing Platforms. Journal of Sensors, vol. 2018, Article ID 3406858

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Título FROG: A Robust and Green Wireless Sensor Node for Fog Computing Platforms
Autor(es) Castillo Cara, Manuel
Huaranga Junco, Edgar
Quispe Montesinos, Milner
Orozco Barbosa, Luis
Arias Antúnez, Enrique
Materia(s) Informática
Abstract Over the past few years, we have witnessed the widespread deployment of wireless sensor networks and distributed data management facilities: two main building blocks of the Internet of things (IoT) technology. Due to the spectacular increase on the demand for novel information services, the IoT-based infrastructures are more and more characterized by their geographical sparsity and increasing demands giving rise to the need of moving from a cloud to a fog model: a novel deployment paradigm characterized by the provisioning of elastic resources geographically located as close as possible to the end user. Despite the large number of wireless sensor networks already available in the market, there are still many issues to be addressed on the design and deployment of robust network platforms capable of meeting the demand and quality of fog-based systems. In this paper, we undertake the design and development of a wireless sensor node for fog computing platforms addressing two of the main issues towards the development and deployment of robust communication services, namely, energy consumption and network resilience provisioning. Our design is guided by examining the relevant macroarchitecture features and operational constraints to be faced by the network platform. We based our solution on the integration of network hardware platforms already available on the market supplemented by smart power management and network resilience mechanisms
Editor(es) Hindawi
Fecha 2018-04-12
Formato application/pdf
Identificador bibliuned:95-Jmcastillo-0002
http://e-spacio.uned.es/fez/view/bibliuned:95-Jmcastillo-0002
DOI - identifier https://doi.org/10.1155/2018/3406858
ISSN - identifier 1687-725X ; eISSN: 1687-7268
Nombre de la revista Journal of Sensors
Número de Volumen 2018
Publicado en la Revista Journal of Sensors, vol. 2018, Article ID 3406858
Idioma eng
Versión de la publicación publishedVersion
Tipo de recurso Article
Derechos de acceso y licencia http://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
Tipo de acceso Acceso abierto
Notas adicionales The registered version of this article, first published in "Journal of Sensors, vol. 2018, Article ID 3406858", is available online at the publisher's website: https://doi.org/10.1155/2018/3406858
Notas adicionales La versión registrada de este artículo, publicado por primera vez en "Journal of Sensors, vol. 2018, Article ID 3406858", está disponible en línea en el sitio web del editor: https://doi.org/10.1155/2018/3406858

 
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Creado: Mon, 22 Jan 2024, 22:21:09 CET