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Molecular signal tracking and detection methods in fluid dynamic channels

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Abbaszadeh, Mahmoud, Atthanayake, Iresha, Thomas, Peter J. and Guo, Weisi (2020) Molecular signal tracking and detection methods in fluid dynamic channels. IEEE Transactions on Molecular, Biological and Multi-Scale Communications, 6 (2). 151 -159. doi:10.1109/TMBMC.2020.3009899 ISSN 2332-7804.

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Official URL: http://dx.doi.org/10.1109/TMBMC.2020.3009899

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Abstract

This method and data paper sets out the macro-scale experimental techniques to acquire fluid dynamic knowledge to inform molecular communication performance and design. Fluid dynamic experiments capture latent features that allow the receiver to detect coherent signal structures and infer transmitted parameters for optimal decoding. This paper reviews two powerful fluid dynamical measurement methodologies that can be applied beneficially in the context of molecular signal tracking and detection techniques. The two methods reviewed are Particle Image Velocimetry (PIV) and Planar Laser-Induced Fluorescence (PLIF). Step-by-step procedures for these techniques are outlined as well as comparative evaluation in terms of performance accuracy and practical complexity is offered. The relevant data is available on IEEE DataPort to help in better understanding of these methods.

Item Type: Journal Article
Subjects: Q Science > QC Physics
T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Library of Congress Subject Headings (LCSH): Molecular communication (Telecommunication), Fluid dynamics , Particle image velocimetry , Planar laser-induced fluorescence
Journal or Publication Title: IEEE Transactions on Molecular, Biological and Multi-Scale Communications
Publisher: IEEE
ISSN: 2332-7804
Official Date: November 2020
Dates:
DateEvent
November 2020Published
17 July 2020Available
6 July 2020Accepted
Volume: 6
Number: 2
Page Range: 151 -159
DOI: 10.1109/TMBMC.2020.3009899
Status: Peer Reviewed
Publication Status: Published
Reuse Statement (publisher, data, author rights): © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Access rights to Published version: Restricted or Subscription Access
Date of first compliant deposit: 24 July 2020
Date of first compliant Open Access: 27 July 2020
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
FA9550-17-1-0056Air Force Office of Scientific Researchhttp://dx.doi.org/10.13039/100000181

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