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On mixing reservoir targeted drug delivery Modeling-based Internet of Bio-NanoThings

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Abstract

Nowadays, the Internet of Bio-NanoThings (IoBNT) is playing an important role to become the leading technique used in healthcare delivery systems. The IoBNT is considered a promising paradigm for efficient communication between nanodevices to deliver therapeutic drug molecules and thus achieve the target concentration to the diseased cell/tissue inside intra-body nanonetworks. However, ignoring the physical architecture of these nanodevices may effect on the delivered concentration when employing the IoBNT paradigm. Therefore, in this paper, we propose a spherical transmitter nanodevice, namely reservoir for controlling the drug molecules to be released and showing the effects of the geometry design of such nanodevice on the concentration arrived inside intra-body nanonetwork. Moreover, we present a pharmacokinetic system comprising of a mathematical model for studying the effects and variance in drug concentration, while taking into consideration the distance from the center of the nanotransmitter to the center of the nanoreceiver. The performance analysis of the proposed IoBNT system is numerically investigated. The performance is evaluated by employing the pharmacokinetic model in terms of bio-cyber interface forward and reverse links. The simulation results reveal that the proposed model is able to achieve a high concentration around the targeted cells and thus decrease side effects around healthy cells compared with the state-of-the-art. Additionally, the results illustrate that proposed reservoir is capable of controlling the emission of the therapeutic drug molecules and thus improving the delivery of the dose at target time.

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Authors and Affiliations

  1. School of Computer Science and Technology, Harbin Institute of Technology (HIT), Harbin, China

    Aya El-Fatyany & Hongzhi Wang

  2. Department of Mathematics, Faculty of Science, Menoufia University, Shebin El-koom, Egypt

    Aya El-Fatyany

  3. Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt

    Saied M. Abd El-atty

Authors
  1. Aya El-Fatyany
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  2. Hongzhi Wang
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  3. Saied M. Abd El-atty
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Correspondence to Aya El-Fatyany.

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El-Fatyany, A., Wang, H. & Abd El-atty, S.M. On mixing reservoir targeted drug delivery Modeling-based Internet of Bio-NanoThings. Wireless Netw 26, 3701–3713 (2020). https://doi.org/10.1007/s11276-020-02294-3

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