Literature Database Entry

torres-gomez2025communicating-preprint

Jorge Torres Gómez, Pit Hofmann, Lisa Y. Debus, Osman Tugay Basaran, Sebastian Lotter, Roya Khanzadeh, Stefan Angerbauer, Bige Deniz Unluturk, Sergi Abadal, Werner Haselmayr, Frank H. P. Fitzek, Robert Schober and Falko Dressler, "Communicating Smartly in Molecular Communication Environments: Neural Networks in the Internet of Bio-Nano Things," arXiv, eess.SP, 2506.20589, June 2025.

Abstract

Recent developments in the Internet of Bio-Nano Things (IoBNT) are laying the groundwork for innovative applications across the healthcare sector. Nanodevices designed to operate within the body, managed remotely via the internet, are envisioned to promptly detect and actuate on potential diseases. In this vision, an inherent challenge arises due to the limited capabilities of individual nanosensors; specifically, nanosensors must communicate with one another to collaborate as a cluster. Aiming to research the boundaries of the clustering capabilities, this survey emphasizes data-driven communication strategies in molecular communication (MC) channels as a means of linking nanosensors. Relying on the flexibility and robustness of machine learning (ML) methods to tackle the dynamic nature of MC channels, the MC research community frequently refers to neural network (NN) architectures. This interdisciplinary research field encompasses various aspects, including the use of NNs to facilitate communication in MC environments, their implementation at the nanoscale, explainable approaches for NNs, and dataset generation for training. Within this survey, we provide a comprehensive analysis of fundamental perspectives on recent trends in NN architectures for MC, the feasibility of their implementation at the nanoscale, applied explainable artificial intelligence (XAI) techniques, and the accessibility of datasets along with best practices for their generation. Additionally, we offer open-source code repositories that illustrate NN-based methods to support reproducible research for key MC scenarios. Finally, we identify emerging research challenges, such as robust NN architectures, biologically integrated NN modules, and scalable training strategies.

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Jorge Torres Gómez
Pit Hofmann
Lisa Y. Debus
Osman Tugay Basaran
Sebastian Lotter
Roya Khanzadeh
Stefan Angerbauer
Bige Deniz Unluturk
Sergi Abadal
Werner Haselmayr
Frank H. P. Fitzek
Robert Schober
Falko Dressler

BibTeX reference

@techreport{torres-gomez2025communicating-preprint,
    author = {Torres G{\'{o}}mez, Jorge and Hofmann, Pit and Debus, Lisa Y. and Basaran, Osman Tugay and Lotter, Sebastian and Khanzadeh, Roya and Angerbauer, Stefan and Unluturk, Bige Deniz and Abadal, Sergi and Haselmayr, Werner and Fitzek, Frank H. P. and Schober, Robert and Dressler, Falko},
    doi = {10.48550/arXiv.2506.20589},
    title = {{Communicating Smartly in Molecular Communication Environments: Neural Networks in the Internet of Bio-Nano Things}},
    institution = {arXiv},
    month = {6},
    number = {2506.20589},
    type = {eess.SP},
    year = {2025},
   }
   
   

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