Primary Goals:

1. Literature Review of timing/oscillation/synchronization methods that use (stochastic) chemical reaction networks in simulation and experiments.
2. Implement and compare different proposals (focusing on oscillators) from literature using Python?
   How do we measure how well they work (metrics)?
   How are all the options different from one another?
   Do they work using deterministic and stochastic simulation?
3. Think about potential changes to the existing oscillator methods based on the use cases in MC networks
4. Implement at least one option of the oscillators for a simple toy example CRN algorithm to showcase how it could work

Primary Goals:

1. Review and understand current CRN implementations in Python
2. Review and summarize candidate optimization methods (Bayesian optimization, random forests, neural networks, ...)
3. Implement and evaluate different proposals from literature using Python
4. Optimize parameters and structure of a CRN for successive interference cancellation
5. Evaluate hyper-parameters, utilize stochastic simulation methods, improving the efficiency of the algorithms

Molecular communication (MC) is an alternative to classical electromagnetic wave-based communication, where molecules are used for information exchange. MC is expected to enable in-body networks for future medical applications in the Internet of Bio-Nano Things, a vision for 6G and beyond.

We seek a working student to help us operate and maintain a molecular communication networks testbed at the chair. The testbed is based on ink molecules transmitted through a water-filled tube system with a background flow. Spectral absorption measurements are used to detect the information molecules.

What you will do:

• Set up the tubes, pumps, sensors, and other components
• Program microcontrollers to control microfluidic pumps and spectral sensors
• Debugging and fault detection in both software and hardware
• Implement data collection and visualization methods
• Support with experiments conducted on the testbed

Prerequisites

The Wireless Sensor Networks lab offers the opportunity to develop software solutions for the wireless sensor networking system, targeting innovative applications. For the next semester, a position is available to assist the participants in learning the programming environment and during the project development phase. The lab is planned to be held on-site every Tuesday 15:00 to 17:00.

Prerequisites