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Edge and Fog Computing Platform for Data Fusion of Complex Heterogeneous Sensors.

Gabriel Mujica1, Roberto Rodriguez-Zurrunero2, Mark Wilby3

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Edge and fog computing platforms enable local data processing for the Internet of Things. This study presents a novel platform for seamless integration of complex sensors, improving data fusion and reducing development times.

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Internet of Things

Background:

  • The proliferation of Internet of Things (IoT) devices generates massive data loads, overwhelming network capacities.
  • Edge computing offers a solution by processing data locally on sensor platforms, but integrating complex, heterogeneous sensors presents significant challenges.
  • Developing integrated sensor systems requires coordinated hardware and software efforts, necessitating common development frameworks.

Purpose of the Study:

  • To present an edge and fog computing platform designed for seamless integration of complex sensors.
  • To implement an efficient data fusion strategy within the proposed platform.
  • To reduce development times for complex sensor integration in real-world applications.

Main Methods:

  • A symbiotic hardware/software design approach utilizing a novel messaging system on a modular hardware platform.
  • Development of an edge and fog computing platform to manage heterogeneous sensor data.
  • Application of the platform to integrate Bluetooth vehicle identifiers and radar counters in a mobility use case.

Main Results:

  • Demonstrated seamless end-to-end integration of complex sensors, specifically Bluetooth vehicle identifiers and radar counters.
  • Successfully implemented an efficient data fusion strategy on the edge/fog platform.
  • Validated the platform's effectiveness in a practical mobility scenario.

Conclusions:

  • The proposed edge and fog computing platform effectively addresses the challenges of integrating complex heterogeneous sensors.
  • The symbiotic hardware/software design and novel messaging system facilitate efficient data fusion and reduce development cycles.
  • The solution provides a viable framework for real-world IoT applications requiring sophisticated sensor data processing.