Understanding Communication via Diffusion: Simulation Design and Intricacies

  • Bilal Acar
  • Ali Akkaya
  • Gaye Genc
  • H. Birkan Yilmaz
  • M. Şükrü Kuran
  • Tuna Tugcu
Chapter
Part of the Modeling and Optimization in Science and Technologies book series (MOST, volume 9)

Abstract

Understanding Communication via Diffusion (CvD) is key to molecular communications research since it dominates the movement at the nano-scale. The researcher needs to properly understand the random diffusion of the molecules for the analysis of a molecular communication system. This chapter aims explaining the dynamics of diffusion from a communication engineer’s perspective as well as providing useful hints for an effective simulation design by discussing some key intricacies. The chapter starts with a brief survey of simulators for molecular communications, followed by the basics of the simulation of Brownian motion and CvD. Several intricacies are addressed to help the researcher in simulation design, such as the number of replications required in terms of movement and bit sequence. We utilize this information further by discussing the design of more complex CvD systems such as tunnel-based approach that utilizes destroyer molecules and distributed simulator design based on HLA. Introduction of more complex CvD systems provides significant improvements in data rate and communications in general, bridging the gap between human-scale and nano-scale systems and enabling nanonetworking as a viable technology.

Keywords

Brownian Motion Symbol Duration Messenger Molecule Intersymbol Interference High Level Architecture 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

This work has been partially supported by the State Planning Organization (DPT) of Republic of Turkey under the project TAM with the Project Number 2007K120610, Bogazici University Research Fund (BAP) under Grant Number 7436, and by the Scientific and Technical Research Council of Turkey (TUBITAK) under Grant Number 112E011. M. Şükrü Kuran partially carried out the work presented in this paper at LINCS (http://www.lincs.fr).

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Bilal Acar
    • 1
  • Ali Akkaya
    • 1
  • Gaye Genc
    • 1
  • H. Birkan Yilmaz
    • 1
    • 2
  • M. Şükrü Kuran
    • 3
  • Tuna Tugcu
    • 1
  1. 1.NETLAB, Department of Computer EngineeringBogazici UniversityIstanbulTurkey
  2. 2.School of Integrated TechnologyYonsei UniversitySeoulSouth Korea
  3. 3.Abdullah Gul UniversityKayseriTurkey

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