Benchmarking Geographically-Distributed Low-Power Wireless Systems

IoT solutions often leverage the cloud for connecting different geographically-distributed deployments. Multiple mesh networks can be connected through the Internet by means of edge devices acting as border routers. In the classical cloud paradigm, each site is connected to one or more central servers. Unfortunately, such a paradigm may introduce unwanted delays when end-devices in different instances needs to exchange data (e.g., in the context of tactile applications requiring millisecond-level latencies such as teleoperation). Modern IoT deployments follow a different approach, which allows edge devices to exchange data directly (hence, at a lower latency) without losing access to cloud resources.
We aim to study, characterize, and optimize the end-to-end delays across such mesh-cloud-continuum, and compare different approaches. To this end, we can exploit our unique testbed infrastructure connecting a low-power mesh facility installed in Graz with a replica that is located 4000 miles away.

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Student Target Groups:

  • Students of ICE/Telematics;
  • Students of Computer Science;
  • Students of Electrical Engineering.

Thesis Type:

  • Master Thesis / Bachelor Thesis

Goal and Tasks:

  • Getting familiar with IPv6-based protocols on the Nordic nRF52840 SoC (OSF and 6TSCH in Contiki-NG, OpenThread and Matter in Zepyhr);
  • Getting familiar with experimentation on a cross-continent testbed infrastructure;
  • Systematically study, characterize, and optimize the end-to-end communication performance (e.g., delays) for different kinds of
    traffic and their ability to cope with interference in the local network.

Recommended Prior Knowledge:

  • Excellent C programming skills;
  • Knowledge of networked embedded systems;
  • Ideally, successful completion of the Embedded Internet (VU/LU) course.


  • a.s.a.p.