Channel modeling of multilayer diffusion-based molecular nano communication system

In nanoscale communication, diffusion-based molecular communication (DBMC) in which information is encoded into molecule patterns by a transmitter nanomachine, has emerged as a promising communication system, particularly for biomedical and healthcare applications. Although, numerous studies have been conducted to evaluate and analyze DBMC systems, investigation on DBMC system through a multilayer channel has received less attention. The aims of this research are to mathematically model a closed-form expression of mean molecular concentration over multilayer DBMC channel, to formulate channel characteristics, and to conduct performance evaluation of multilayer DBMC channel. In the mathematical model, the propagation of molecules over an n-layer channel is assumed to follow the Brownian motion and subjected to Fick’s law of diffusion. The partial differential equation (PDE) of the time rate change of molecular concentration is obtained by modeling the n-layer channel as an n-resistor in series and considering the conservation law of molecules. Fourier transform and Laplace transform were used to obtain the solution for the PDE, which represents the mean molecular concentration at a receiver nanomachine. In the formulation, channel characteristics such as impulse response, time delay, attenuation or the maximum peak, delay spread and capacity were analytically obtained from the mean molecular concentration. In this stage, the multilayer channel is considered as a linear and deterministic channel. For the performance evaluation, the air-waterblood plasma medium representing the simplified multilayer diffusion model in the respiratory system was chosen. It was found that both analytical and simulation results of mean molecular concentration using Matlab and N3Sim were in good agreement. In addition, the findings showed that the higher the average diffusion coefficient resulted in a smaller dispersion of channel impulse response, and shortened the channel delay spread as well as time delay. However, the channel attenuation remains unchanged. In the performance evaluation, an increase of 100% in the transmission distance increased the time delay by 300% but decreased the maximum peak of molecular concentration by 87.5%. A high channel capacity can be achieved with wide transmission bandwidth, short transmission distance, and high average transmitted power. These findings can be used as a guide in the development and fabrication of future artificial nanocommunication and nanonetwork systems involving multilayer transmission medium. Implication of this study is that modeling and analyzing of multilayer DBMC channel are important to support biomedical applications as diffusion can occur through a multilayer structure inside the human body

Modelling of multilayer biological medium under molecular communication paradigm

© 2017 IEEE. Molecular communication is an emerging paradigm that enables both the biological and synthetic nanomachines to communicate with each other within an aqueous biological environment such as the communication between living cells. Prediction of the number of drug molecules near a target site, e.g., tumor cells, is very important for determining the required drug dosages to increase positive therapeutic outcomes. In this paper, we derive an analytical expression for the received molecular signal in a multilayered biological environment. We also present development of particle-based simulator. We find the analytical results for three-layer biological medium compares well with the simulation results. The effect of the diffusion coefficient and the distance between the transmitter and the receiver (e.g., targeted cells) are also investigated

Modeling a composite molecular communication channel

© 1972-2012 IEEE. This paper deals with development of diffusive propagation model for molecular communication in composite biological microenvironments with multiple regions (or layers) each with distinct diffusion properties to understand the transport of information molecules. We propose generalized analytical and simulation approaches for modeling a composite, diffusive, and molecular communication channel for arbitrary placement of the transmitting and receiving nano-machines. We derive a generalized closed-form expression for the channel impulse response of a three dimensionally (3-D) diffusive medium that has 'N' regions. The results from the proposed particle-based simulator are validated with the exact analytical solution. The pulse peak amplitude, pulse peak time, and pulse width are derived to evaluate the system performance using both analytical and simulation approaches. It is shown that the channel impulse response and other communication metrics are significantly affected by the diffusion coefficients, region thickness, interface properties, and the positions of transmitter and receiver nano-machines with respect to the interfaces

Full Proceedings, 2018

Full conference proceedings for the 2018 International Building Physics Association Conference hosted at Syracuse University

SynerCrete’18: interdisciplinary approaches for cement-based materials and structural concrete: synergizing expertise and bridging scales of space and time, vol. 2

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