Edge and fog computing platform for data fusion of complex heterogeneous sensors

Mujica Rojas, Gabriel Noe and Rodríguez Zurrunero, Roberto and Wilby ., Mark Richard and Portilla Berrueco, Jorge and Rodríguez González, Ana Belén and Araujo Pinto, Álvaro and Riesgo Alcaide, Teresa and Vinagre Díaz, Juan José (2018). Edge and fog computing platform for data fusion of complex heterogeneous sensors. "Sensors", v. 18 (n. 3630); pp. 1-26. ISSN 1424-8220. https://doi.org/10.3390/s18113630.

Description

Title: Edge and fog computing platform for data fusion of complex heterogeneous sensors
Author/s:
  • Mujica Rojas, Gabriel Noe
  • Rodríguez Zurrunero, Roberto
  • Wilby ., Mark Richard
  • Portilla Berrueco, Jorge
  • Rodríguez González, Ana Belén
  • Araujo Pinto, Álvaro
  • Riesgo Alcaide, Teresa
  • Vinagre Díaz, Juan José
Item Type: Article
Título de Revista/Publicación: Sensors
Date: October 2018
ISSN: 1424-8220
Volume: 18
Subjects:
Freetext Keywords: edge computing, fog computing, data fusion, multi-sensor systems, complex sensors
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería Electrónica
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The explosion of the Internet of Things has dramatically increased the data load on networks that cannot indefinitely increment their capacity to support these new services. Edge computing is a viable approach to fuse and process data on sensor platforms so that information can be created locally. However, the integration of complex heterogeneous sensors producing a great amount of diverse data opens new challenges to be faced. Rather than generating usable data straight away, complex sensors demand prior calculations to supply meaningful information. In addition, the integration of complex sensors in real applications requires a coordinated development from hardware and software teams that need a common framework to reduce development times. In this work, we present an edge and fog computing platform capable of providing seamless integration of complex sensors, with the implementation of an efficient data fusion strategy. It uses a symbiotic hardware/software design approach based on a novel messaging system running on a modular hardware platform. We have applied this platform to integrate Bluetooth vehicle identifiers and radar counters in a specific mobility use case, which exhibits an effective end-to-end integration using the proposed solution.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainRTC-2016-5479-4UnspecifiedUnspecifiedAll-in-One, Plataforma de monitorización de tráfico integrada, de bajo coste e información extendida

More information

Item ID: 55010
DC Identifier: http://oa.upm.es/55010/
OAI Identifier: oai:oa.upm.es:55010
DOI: 10.3390/s18113630
Official URL: https://www.mdpi.com/1424-8220/18/11/3630
Deposited by: Memoria Investigacion
Deposited on: 27 May 2019 16:28
Last Modified: 27 May 2019 16:28
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