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Thinger.io: An Open Source Platform for Deploying Data Fusion Applications in IoT Environments.

Alvaro Luis Bustamante1, Miguel A Patricio2, José M Molina3

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This study introduces Thinger.io, an open-source platform for managing heterogeneous sensor data. It addresses challenges in data fusion and the Internet of Things (IoT) by enabling scalable, cost-effective, hardware-agnostic solutions.

Keywords:
IoT middlewaredata fusion applicationsscalabillity

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Area of Science:

  • Data Science
  • Sensor Networks
  • Internet of Things (IoT)

Background:

  • Advances in sensor technology have driven significant development in data and information fusion.
  • Highly sensorized spaces generate continuous, heterogeneous data streams, posing challenges for processing and fusion.
  • Existing solutions for data fusion often rely on proprietary, non-standardized technologies, leading to high costs and vendor lock-in.

Purpose of the Study:

  • To present Thinger.io, a novel open-source platform for collecting, managing, and analyzing large volumes of heterogeneous sensor data.
  • To provide a scalable and cost-effective solution for data fusion in highly sensorized environments.
  • To enable hardware-agnostic integration and simplify the implementation of data fusion applications.

Main Methods:

  • Development of an open-source platform (Thinger.io) designed for large-scale sensor data management.
  • Implementation of a high-level modeling language for sensorized environments.
  • Demonstration of data fusion application implementation using the Thinger.io platform.

Main Results:

  • Thinger.io offers capabilities for collecting, managing, and analyzing massive amounts of heterogeneous sensor data.
  • The platform supports hardware-agnostic integration, ensuring scalability and cost-effectiveness.
  • A high-level modeling language facilitates straightforward implementation of data fusion applications.

Conclusions:

  • Thinger.io provides a viable open-source solution to challenges in data fusion and IoT data management.
  • The platform's design promotes interoperability and reduces reliance on proprietary systems.
  • Thinger.io enables efficient and accessible development of data fusion applications in sensorized environments.