@inproceedings{9570d53e93ce498ba1396b80e1076039,
title = "Modeling molecular channel using queueing theory approach",
abstract = "The objective of this paper is to find a way for simulating the channel in molecular communication. In molecular communication, transporting the data happens through propagation of the micro-scale particles in a fluid or gaseous medium. Molecules move through the channel due to diffusion and thus transfers the data between receiver and transmitter. In order to model this type of communication channel, diffusion characteristics should be studied. There are some models which choose a tedious and time consuming method and model this communication channel based on partial differential equations. In this paper, we have chosen another approach and propose a novel method to model the molecular channel based on queueing network. Moreover, derived from the combination of the Fick's law and the principle of queueing theory, we propose a new mathematical formula in order to model the channel in any environment for the Molecular communication. Then by implementing the derived model we have been able to simulate the channel for various one-dimensional scenarios.",
keywords = "1-D simulation, Brownian Motion, Communication Channel, Molecular Communication via diffusion, nanonetworks, queuing Network",
author = "Vahraz Honary and Wysocki, {Tadeusz A.} and Wysocki, {Beata J.}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Conference on Electro Information Technology, EIT 2017 ; Conference date: 14-05-2017 Through 17-05-2017",
year = "2017",
month = sep,
day = "27",
doi = "10.1109/EIT.2017.8053388",
language = "English (US)",
series = "IEEE International Conference on Electro Information Technology",
publisher = "IEEE Computer Society",
pages = "367--372",
booktitle = "2017 IEEE International Conference on Electro Information Technology, EIT 2017",
}