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Diffusive molecular communication for bacterium propagation over human gut track

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Abstract

Diffusive Molecular Communication (DMC), is the most common approach employed in analysis and replication of different types of communication systems existing in nature. Exchange of Molecular Information (MI) using Bacterium, which is based on DMC and may be termed as Bacterial Communication (BC), is being used to model detection and cure processes of various decreases due to the Bacteria. DMC is being developed to serve almost each and every aspect of humanity. Also, various approaches to detect and cure the Bacterial disease are proposed in literature. It is noticeable that the complete Human Gut Track (HGT) is responsible to grade the severity of the disease. And therefore, literature presents the propagation of Bacteria in the HGT. Further, it is most important to mention that the impulse response of the system which characterizes bacteria propagation per unit area (f(y)) plays a major role in modeling viral transmission over the (HGT). In this work we analyzed bacterial concentration (N(y)) at different time points (t = 0.3, 0.5, 0.7, 0.9, 1.2). Our findings show that as time (t) increases, N(y) also increases. Additionally, we examined bacterial distribution (V(y)) for varying values of v (λ = 0.2, 0.3, 0.4, 0.6, 0.8). Results indicate that as v increases, V(y) decreases due to fixed distance, where mucus influences bacterial concentration. Increasing mucus flow rate for a fixed distance results in a decrease in Bacteria distribution. In particular we provided analytical expressions of Bacterial concentration (N(y)) and Bacterial distribution (V(y)) under certain impulse responses. Also, the effect of different physical parameters on (N(y)) and (V(y)) have been quantified with the help of numerical simulation. Presented analysis shows perfect agreement with the theoretical background.

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Correspondence to Prabhakar Agarwal.

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Asim, M., Jaiswal, R., Chugh, U. et al. Diffusive molecular communication for bacterium propagation over human gut track. Int. j. inf. tecnol. (2024). https://doi.org/10.1007/s41870-024-01841-x

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