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Molecular information delivery in porous media

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Fang, Yuting, Guo, Weisi, Icardi, Matteo, Noel, Adam and Yang, Nan (2019) Molecular information delivery in porous media. IEEE Transactions on Molecular, Biological, and Multi-Scale Communications, 4 (4). pp. 257-262. doi:10.1109/TMBMC.2019.2937297 ISSN 2372-2061.

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Official URL: https://doi.org/10.1109/TMBMC.2019.2937297

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Abstract

Information delivery via molecular signals is abundant in nature and potentially useful for industry sensing. Many propagation channels (e.g., tissue membranes and catalyst beds) contain porous medium materials and the impact this has on communication performance is not well understood. Here, communication through realistic porous channels is investigated for the first time via statistical breakthrough curves. Assuming that the number of arrived molecules can be approximated as a Gaussian random variable and using fully resolved computational fluid dynamics results for the breakthrough curves, the numerical results for the throughput, mutual information, error probability, and information diversity gain are presented. Using these numerical results, the unique characteristics of the porous medium channel are revealed.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Q Science > QC Physics
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) , Cell interaction, Porous materials -- Fluid dynamics, Nanonetworks
Journal or Publication Title: IEEE Transactions on Molecular, Biological, and Multi-Scale Communications
Publisher: IEEE
ISSN: 2372-2061
Official Date: December 2019
Dates:
DateEvent
December 2019Published
26 August 2019Available
13 August 2019Accepted
Volume: 4
Number: 4
Page Range: pp. 257-262
DOI: 10.1109/TMBMC.2019.2937297
Status: Peer Reviewed
Publication Status: Published
Reuse Statement (publisher, data, author rights): © 2019 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: 28 August 2019
Date of first compliant Open Access: 2 September 2019
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
FA9550-17-1-0056Air Force Office of Scientific ResearchUNSPECIFIED
Open Access Version:
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