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.
Highlights
Wireless Sensor Networks (WSNs) is not a new idea, they have been around for more than 40 years [1]
The work we present in this paper grew out of several collaborative projects between the three research groups that form the team. In these projects we developed and deployed a range of complex sensors, where we repetitively faced a common set of integration issues
In the center of the diagram, we show the main processing element that supports the implementation of the complex sensor management system
Summary
Wireless Sensor Networks (WSNs) is not a new idea, they have been around for more than 40 years [1]. Their architecture on implementation is still in progress. The proliferation of sensors and related devices has been dramatic, embodied in the ubiquitous Internet of Things (IoT). This has led to the boundary between the physical world and the digital being constantly eroded by the IoT, which complicates the nature of what information is being generated and where it is needed. We are currently dealing with the incremental evolution of traditional sensors in terms of accuracy, latency (communications), etc., and a fundamental change in the nature of the capabilities of sensors, as well as the growing realization that the significance of the Sensors 2018, 18, 3630; doi:10.3390/s18113630 www.mdpi.com/journal/sensors
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