Sensors 2018, 18(11), 3630; https://doi.org/10.3390/s18113630
Edge and Fog Computing Platform for Data Fusion of Complex Heterogeneous Sensors
Gabriel Mujica 1,†,*
, Roberto Rodriguez-Zurrunero 2,†, Mark Richard Wilby 3,†, Jorge Portilla 1,†, Ana Belén Rodríguez González 3,†, Alvaro Araujo 2,†, Teresa Riesgo 1,† and Juan José Vinagre Díaz 3,†
, Roberto Rodriguez-Zurrunero 2,†, Mark Richard Wilby 3,†, Jorge Portilla 1,†, Ana Belén Rodríguez González 3,†, Alvaro Araujo 2,†, Teresa Riesgo 1,† and Juan José Vinagre Díaz 3,†
1
Centro de Electrónica Industrial, Universidad Politécnica de Madrid, José Gutiérrez Abascal 2, 28006 Madrid, Spain
2
B105 Electronic Systems Lab, ETSI Telecomunicación, Universidad Politécnica de Madrid, Avenida Complutense 30, 28040 Madrid, Spain
3
Group Biometry, Biosignals, Security, and Smart Mobility, Universidad Politécnica de Madrid, Avenida Complutense 30, 28040 Madrid, Spain
†
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Received: 7 September 2018 / Revised: 5 October 2018 / Accepted: 23 October 2018 / Published: 25 October 2018
(This article belongs to the Special Issue Recent Advances in Data Mining and Information Fusion in Wireless Sensors Networks)
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. View Full-Text
Figure 1
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MDPI and ACS Style
Mujica, G.; Rodriguez-Zurrunero, R.; Wilby, M.R.; Portilla, J.; Rodríguez González, A.B.; Araujo, A.; Riesgo, T.; Vinagre Díaz, J.J. Edge and Fog Computing Platform for Data Fusion of Complex Heterogeneous Sensors. Sensors 2018, 18, 3630.
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