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Mujica Rojas, Gabriel Noe ORCID: https://orcid.org/0000-0002-2964-2846, Rodríguez Zurrunero, Roberto
ORCID: https://orcid.org/0000-0002-1720-665X, Wilby ., Mark Richard
ORCID: https://orcid.org/0000-0002-0062-2948, Portilla Berrueco, Jorge
ORCID: https://orcid.org/0000-0003-4896-6229, Rodríguez González, Ana Belén
ORCID: https://orcid.org/0000-0002-0023-9607, Araujo Pinto, Álvaro
ORCID: https://orcid.org/0000-0001-9269-5900, Riesgo Alcaide, Teresa
ORCID: https://orcid.org/0000-0003-0532-8681 and Vinagre Díaz, Juan José
ORCID: https://orcid.org/0000-0003-1283-0311
(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.
Title: | Edge and fog computing platform for data fusion of complex heterogeneous sensors |
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Author/s: |
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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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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.
Item ID: | 55010 |
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DC Identifier: | https://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 |