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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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WRAP-molecular-signal-tracking-detection-methods-fluid-dynamic-channels-Thomas-2020.pdf - Accepted Version - Requires a PDF viewer. Download (2142Kb) | Preview |
Official URL: http://dx.doi.org/10.1109/TMBMC.2020.3009899
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 | ||||||||
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Subjects: | Q Science > QC Physics T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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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: |
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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: |
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