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Anke Kuestner, "A Simulation Framework for Connecting In-Body Nano Communication with Out-of-Body Devices," Bachelor Thesis, Department of Computer Science, Paderborn University (UPB), June 2020. (Advisors: Lukas Stratmann and Falko Dressler; Referees: Falko Dressler and Holger Karl)


Since our mankind will always be facing struggle against diseases and illnesses, it is crucial to continuously research on and develop new approaches and tools for medical treatments that enable us new insights and possibilities to cope with these medical issues. This thesis presents a promising tool, namely the connection between in-body nanonetworks and out-of-body devices, which give us insight into our body. These networks are able to do measurements within the body or eliminate detected problems, e.g., morbid cells. This thesis focuses on the controllability of nanobots from outside the body which is tested by building a simulation framework, because experiments in this field cannot be simply carried out on a human or animal body due to ethical reasons. A simulation framework was developed, which connects an out-of-body device to a gateway via a Low-Rate Wireless Personal Area Network (LR-WPAN) network and provides the connection between a gateway and nanobots or only among nanobots with a proximity approach. In addition the simulation framework BloodVoyagerS (BVS) was used to simulate a the cardiovascular system of a human body. In the evaluation trends were found on latency, hop count and the amount of blood vessels in which medical issues can be reliably detected.

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Anke Kuestner

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    author = {Kuestner, Anke},
    doi = {10.17619/UNIPB/1-1075},
    title = {{A Simulation Framework for Connecting In-Body Nano Communication with Out-of-Body Devices}},
    advisor = {Stratmann, Lukas and Dressler, Falko},
    institution = {Department of Computer Science},
    location = {Paderborn, Germany},
    month = {6},
    referee = {Dressler, Falko and Karl, Holger},
    school = {Paderborn University (UPB)},
    type = {Bachelor Thesis},
    year = {2020},

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