Increasing the Coexistence between Wireless Devices used in the IoT

With the rapid growth of the Internet of Things (IoT), an increasing number of wireless appliances is crowding the same unlicensed Industrial, Scientific,and Medical (ISM) frequency bands, causing severe cross-technology interference. The latter leads to loss of packets, increased delays, and to a reduced performance, especially for wireless IoT devices operating at low power.

We are interested in finding an efficient and accurate way to obtain such an understanding of the RF spectrum usage. As collecting information using energy detection (i.e., by sampling the received signal strength at high frequency) is highly energy expensive for battery-powered IoT devices, we are also looking for possible schemes that off-load this task to more powerful and unconstrained devices. For example, wall-powered Wi-Fi devices such as Raspberry Pis can get an understanding of the RF spectrum usage and communicate this info to the surrounding low-power IoT devices using cross technology communication or other means.

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Student Target Groups:

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

Thesis Type:

  • Master Project / Master Thesis


  • Explore metrics that allow to characterize the RF spectrum usage in a compact way (e.g.,which channels are congested, how many devices are using these frequencies). This may also include the use of ML techniques;
  • Explore how protocols can make use of a detailed RF spectrum usage characterization;
  • Build a demonstrator where a low-power device characterizes the RF spectrum autonomously;
  • Build a demonstrator where a more powerful device (e.g., Raspberry Pi) monitors the RF spectrum usage and communicates this information to a low-power IoT device (e.g., using CTC).

Recommended Prior Knowledge:

  • Knowledge of networked embedded systems;
  • Excellent C programming skills;
  • Experience with embedded platforms is a plus..


  • a.s.a.p.