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A simulation framework for connecting in-body nano communication with out-of-body devices

Anke Kuestner, Lukas Stratmann, Regine Wendt, Stefan Fischer, Falko Dressler

Abstract

We present a novel simulation framework bridging the gap between in-body nano communication and out-of-body body area network (BAN). We assume nanobots freely flowing within the blood system. Their mobility can be modeled using the BloodVoyagerS module. The communication channels are modeled using proximity (nanobot to nanobot), proximity and ultrasonic communication (nanobot to a gateway), and standard IEEE 802.15.4 for BAN communication. In our simulation framework, we rely on ns-3 to model all the three independent communication channels to, for the first time, study the end-to-end communication performance from nanobots to a connected host system. We consider the system a fundamental basis for more advanced studies of such integrated and very heterogeneous communication systems.

Original languageEnglish
Title of host publicationNanoCom '20: Proceedings of the 7th ACM International Conference on Nanoscale Computing and Communication
EditorsWilliam E. Bentley, Gregory F. Payne, Valeria Loscri
Number of pages2
PublisherACM
Publication date23.09.2020
Pages1–2
ISBN (Print)978-1-4503-8083-6
DOIs
Publication statusPublished - 23.09.2020
Event7th ACM International Conference on Nanoscale Computing and Communication - Virtual, Online, United States
Duration: 23.09.202025.09.2020
Conference number: 163745

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  3. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  4. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

Research Areas and Centers

  • Centers: Center for Open Innovation in Connected Health (COPICOH)
  • Research Area: Intelligent Systems
  • Academic Focus: Biomedical Engineering

DFG Research Classification Scheme

  • 4.43-03 Security and Dependability, Operating, Communication and Distributed Systems

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