A physical end-to-end model for molecular communication in nanonetworks

Massimiliano Pierobon, Ian F. Akyildiz

Research output: Contribution to journalArticle

339 Scopus citations

Abstract

Molecular communication is a promising paradigm for nanoscale networks. The end-to-end (including the channel) models developed for classical wireless communication networks need to undergo a profound revision so that they can be applied for nanonetworks. Consequently, there is a need to develop new end-to-end (including the channel) models which can give new insights into the design of these nanoscale networks. The objective of this paper is to introduce a new physical end-to-end (including the channel) model for molecular communication. The new model is investigated by means of three modules, i.e., the transmitter, the signal propagation and the receiver. Each module is related to a specific process involving particle exchanges, namely, particle emission, particle diffusion and particle reception. The particle emission process involves the increase or decrease of the particle concentration rate in the environment according to a modulating input signal. The particle diffusion provides the propagation of particles from the transmitter to the receiver by means of the physics laws underlying particle diffusion in the space. The particle reception process is identified by the sensing of the particle concentration value at the receiver location. Numerical results are provided for three modules, as well as for the overall end-to-end model, in terms of normalized gain and delay as functions of the input frequency and of the transmission range.

Original languageEnglish (US)
Article number5452953
Pages (from-to)602-611
Number of pages10
JournalIEEE Journal on Selected Areas in Communications
Volume28
Issue number4
DOIs
Publication statusPublished - May 1 2010

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Keywords

  • Molecular communication
  • Nanonetworks
  • Nanotechnology
  • Particle Diffusion
  • Physical channel modeling
  • Physical end-to-end modeling

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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