Open Access
ARTICLE
Performance Analysis of an Artificial Intelligence Nanosystem with Biological Internet of Nano Things
Saied M. Abd El-atty1,*, Nancy A. Arafa1, Atef Abouelazm1, Osama Alfarraj2, Konstantinos A. Lizos3, Farid Shawki1
1
Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University,
Menouf, Egypt
2
Computer Science Department, Community College, King Saud University, Riyadh, Saudi Arabia
3
Department of Informatics, Faculty of Mathematics and Natural Sciences, University of Oslo (UiO), Oslo, Norway
* Corresponding Author: Saied M. Abd El-atty. Email:
(This article belongs to this Special Issue: Artificial Intelligence of Things (AIoT): Emerging Trends and Challenges)
Computer Modeling in Engineering & Sciences 2022, 133(1), 111-131. https://doi.org/10.32604/cmes.2022.020793
Received 31 December 2021; Accepted 11 February 2022; Issue published 18 July 2022
Abstract
Artificial intelligence (AI) has recently been used in nanomedical applications, in which implanted intelligent
nanosystems inside the human body were used to diagnose and treat a variety of ailments with the help of the
Internet of biological Nano Things (IoBNT). Biological circuit engineering or nanomaterial-based architectures
can be used to approach the nanosystem. In nanomedical applications, the blood vascular medium serves as a
communication channel, demonstrating a molecular communication system based on flow and diffusion. This
paper presents a performance study of the channel capacity for flow-based-diffusive molecular communication
nanosystems that takes into account the ligand-receptor binding mechanism. Unlike earlier studies, we take into
account the effects of biological physical characteristics such as blood pressure, blood viscosity, and vascular
diameter on channel capacity. Furthermore, in terms of drug transmission error probability, the inter-symbol
interference (ISI) phenomenon is applied to the proposed system. The numerical results show that the proposed
AI nanosystems-based IoBNT technology can be successfully implemented in future nanomedicine.
Keywords
Cite This Article
M., S., Arafa, N. A., Abouelazm, A., Alfarraj, O., Lizos, K. A. et al. (2022). Performance Analysis of an Artificial Intelligence Nanosystem with Biological Internet of Nano Things.
CMES-Computer Modeling in Engineering & Sciences, 133(1), 111–131.