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Internet of Bio-Nano-Things

  • Duration:

The majority of current wireless communication systems are based on radio frequency (RF) radio waves. Although perfectly suited for many telecommunications tasks, nano- or micro-scale communicating nodes, e.g. interacting with biological cells in the human body and/or operating in difficult environments (e.g. liquids), must rely on alternative communication paradigms and technologies. Examples of applications include communicating nanorobots (i.e. mobile Nanodevices that patrol human blood vessels for medical purposes, airborne molecular communication and sensing systems, and macro-level communications in industrial plants and pipeline networks containing water, oil, or gases. Communication in such environments can occur through the use of nano-sized particles as information carriers, including magnetic nanoparticles and biochemical molecules that can be detected by biological, chemical or physical means. The corresponding novel communications paradigm, called Molecular Communications (MK), is intended to complement traditional RF telecommunications networks and eventually become an integral part of 6G+ solutions, enabling revolutionary new services. In this project we will develop and investigate concepts for an Internet of Bio-Nano-Things (IoBNT) system. Individualized medicine and microscale industrial applications are considered as example applications. The IoBNT is tailored to enable the monitoring and triggering of infections through a communication platform between nanodevices in the human body and with external gateways. In this way, the IoBNT will support the transfer of data and control information between nanodevices and external computers. To realize an IoBNT, both RFuals and MK communication schemes are used and include the following components: MK systems, gateway nodes and an RF subsystem to enable end-to-end communication between nanodevices (with electronics and highly miniaturized biosensors , which are located in the body) and external control/monitoring units in the context of 6G+ networks.


  • Friedrich-Alexander Universität Erlangen-Nürnberg
  • Technische Universität Darmstadt
  • Technische Universität München
  • Deutsches Forschungszentrum für Künstliche Intelligenz GmbH
  • Universität zu Lübeck
  • Technische Universität Dresden
  • Technische Universität Berlin


BMBF - Federal Ministry of Education and Research


BMBF - Federal Ministry of Education and Research