Modeling molecular channel using queueing theory approach

Vahraz Honary, Tadeusz A. Wysocki, Beata J. Wysocki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish (US)
Title of host publication2017 IEEE International Conference on Electro Information Technology, EIT 2017
PublisherIEEE Computer Society
Pages367-372
Number of pages6
ISBN (Electronic)9781509047673
DOIs
StatePublished - Sep 27 2017
Event2017 IEEE International Conference on Electro Information Technology, EIT 2017 - Lincoln, United States
Duration: May 14 2017May 17 2017

Publication series

NameIEEE International Conference on Electro Information Technology
ISSN (Print)2154-0357
ISSN (Electronic)2154-0373

Other

Other2017 IEEE International Conference on Electro Information Technology, EIT 2017
CountryUnited States
CityLincoln
Period5/14/175/17/17

Fingerprint

Queueing theory
Molecular modeling
Communication
Fick's laws
Queueing networks
Partial differential equations
Transmitters
Molecules
Fluids

Keywords

  • 1-D simulation
  • Brownian Motion
  • Communication Channel
  • Molecular Communication via diffusion
  • nanonetworks
  • queuing Network

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Honary, V., Wysocki, T. A., & Wysocki, B. J. (2017). Modeling molecular channel using queueing theory approach. In 2017 IEEE International Conference on Electro Information Technology, EIT 2017 (pp. 367-372). [8053388] (IEEE International Conference on Electro Information Technology). IEEE Computer Society. https://doi.org/10.1109/EIT.2017.8053388

Modeling molecular channel using queueing theory approach. / Honary, Vahraz; Wysocki, Tadeusz A.; Wysocki, Beata J.

2017 IEEE International Conference on Electro Information Technology, EIT 2017. IEEE Computer Society, 2017. p. 367-372 8053388 (IEEE International Conference on Electro Information Technology).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Honary, V, Wysocki, TA & Wysocki, BJ 2017, Modeling molecular channel using queueing theory approach. in 2017 IEEE International Conference on Electro Information Technology, EIT 2017., 8053388, IEEE International Conference on Electro Information Technology, IEEE Computer Society, pp. 367-372, 2017 IEEE International Conference on Electro Information Technology, EIT 2017, Lincoln, United States, 5/14/17. https://doi.org/10.1109/EIT.2017.8053388
Honary V, Wysocki TA, Wysocki BJ. Modeling molecular channel using queueing theory approach. In 2017 IEEE International Conference on Electro Information Technology, EIT 2017. IEEE Computer Society. 2017. p. 367-372. 8053388. (IEEE International Conference on Electro Information Technology). https://doi.org/10.1109/EIT.2017.8053388
Honary, Vahraz ; Wysocki, Tadeusz A. ; Wysocki, Beata J. / Modeling molecular channel using queueing theory approach. 2017 IEEE International Conference on Electro Information Technology, EIT 2017. IEEE Computer Society, 2017. pp. 367-372 (IEEE International Conference on Electro Information Technology).
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