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Experiment Control and Monitoring System for LOG-a-TEC Testbed.

Grega Morano1, Andrej Hrovat1, Matevž Vučnik1

  • 1Jožef Stefan Institute, Jamova 39, SI-1000 Ljubljana, Slovenia.

Sensors (Basel, Switzerland)
|October 13, 2021
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Summary
This summary is machine-generated.

This study introduces an experiment control and monitoring system (EC and MS) to upgrade the LOG-a-TEC wireless testbed. The new system enables real-time control and monitoring for reproducible sensor network and machine-type communication experiments.

Keywords:
6TiSCHBluetooth Low EnergyContiki-NGcontinuous deploymentreal-time monitoringtestbed

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Wireless Communications

Background:

  • The LOG-a-TEC testbed, part of the Fed4FIRE+ federation, lacks real-time experiment control and monitoring.
  • This limitation hinders reproducible experimentation for sensor networks and machine-type communications.

Purpose of the Study:

  • To implement an Experiment Control and Monitoring System (EC and MS) for the LOG-a-TEC testbed.
  • To enhance the testbed's capabilities for real-time experiment management and data exchange.

Main Methods:

  • Integrated EC and MS as a new service within the existing infrastructure management system.
  • Developed a new tab in the sensor management system portal for EC and MS access.
  • Utilized the ZeroMQ concurrency framework for asynchronous, real-time data exchange.

Main Results:

  • The EC and MS provides remote control (start, stop, reset) and real-time status monitoring of experiments.
  • Enabled access to the Contiki-NG shell tool for enhanced experiment execution control.
  • The system supports continuous deployment principles without disruption.

Conclusions:

  • The implemented EC and MS successfully upgrades the LOG-a-TEC testbed, enabling real-time control and monitoring.
  • The system facilitates reproducible experiments and enhances user control over wireless testbed operations.
  • Evaluated through BLE localization and 6TiSCH interference avoidance experiments for Industrial IoT.