IEEE Journal on Selected Areas in Communications · 2010 · 529 citations · 12 references
Nanoscale SystemEngineeringPhysicsParticle Concentration ValueNanotechnologyNanonetworkNanoscale ModelingTransport PhenomenaComputational ChemistryNanocomputingMolecular CommunicationsMolecular CommunicationParticle Concentration RateBiophysicsMolecular ComputingNanophysics
Molecular communication is a promising paradigm for nanoscale networks, yet classical wireless end‑to‑end models must be fundamentally revised to suit nanonetworks. The paper seeks to develop new end‑to‑end models that provide insights into nanoscale network design. The proposed model comprises three modules—transmitter, signal propagation, and receiver—each describing particle emission, diffusion, and reception processes. Numerical results demonstrate the model’s normalized gain and delay as functions of input frequency and transmission range for both individual modules and the overall system.
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.
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Diffusion, mass transfer in fluid systems
Choice Reviews Online · 1997 · 5K citations
Nanonetworks: A new communication paradigm
Ian F. Akyildiz, F. Brunetti, Cristina Blázquez · Computer Networks · 2008 · 1.3K citations