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Networking-Aware IoT Application Development.

Arne Bröring1, Jan Seeger2, Manos Papoutsakis3,4

  • 1Siemens AG, Corporate Technology, 81739 Munich, Germany.

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Summary
This summary is machine-generated.

This study introduces a new architecture for Internet of Things (IoT) application development, simplifying network configuration for developers. The approach automatically deduces network settings, crucial for interconnected IoT systems.

Keywords:
IoTSDNsemantic models

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Area of Science:

  • Computer Science
  • Software Engineering
  • Network Engineering

Background:

  • Existing tools for Internet of Things (IoT) application development primarily focus on business logic.
  • IoT applications critically depend on network configuration and inter-device connectivity.
  • Developers often lack specialized expertise in network and physical device connection setup.

Purpose of the Study:

  • To develop an architecture and data models for networking-aware IoT application development.
  • To address the challenge of automatic network configuration deduction for IoT applications.
  • To simplify the development process for IoT applications by abstracting network complexities.

Main Methods:

  • Proposed a novel architecture for IoT application development.
  • Developed associated data models to represent network and device information.
  • Implemented an approach for automatic deduction of network configurations.
  • Evaluated the approach using a practical oil leakage detection application for wind turbines.

Main Results:

  • The developed architecture enables networking-aware IoT application development.
  • The data models effectively capture essential networking information.
  • Automatic configuration deduction simplifies the development workflow.
  • Successful application in a real-world scenario (wind turbine oil leakage detection).

Conclusions:

  • The proposed architecture and data models significantly enhance IoT application development by integrating networking considerations.
  • Automating network configuration deduction lowers the barrier to entry for IoT developers.
  • The approach is validated through a practical use case, demonstrating its effectiveness and applicability.