Molecular Information Delivery in Porous Media

Yuting Fang; Weisi Guo; Matteo Icardi; Adam Noel; Nan Yang

doi:10.1109/TMBMC.2019.2937297

Molecular Information Delivery in Porous Media

Yuting Fang^*, Weisi Guo, Matteo Icardi, Adam Noel, Nan Yang

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

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.

Original language	English
Article number	8813106
Pages (from-to)	257-262
Number of pages	6
Journal	IEEE Transactions on Molecular, Biological, and Multi-Scale Communications
Volume	4
Issue number	4
DOIs	https://doi.org/10.1109/TMBMC.2019.2937297
Publication status	Published - Dec 2018

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title = "Molecular Information Delivery in Porous Media",

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.",

keywords = "Molecular communication, performance analysis, porous media",

author = "Yuting Fang and Weisi Guo and Matteo Icardi and Adam Noel and Nan Yang",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.",

year = "2018",

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doi = "10.1109/TMBMC.2019.2937297",

language = "English",

volume = "4",

pages = "257--262",

journal = "IEEE Transactions on Molecular, Biological, and Multi-Scale Communications",

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T1 - Molecular Information Delivery in Porous Media

AU - Fang, Yuting

AU - Guo, Weisi

AU - Icardi, Matteo

AU - Noel, Adam

AU - Yang, Nan

PY - 2018/12

Y1 - 2018/12

N2 - 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.

AB - 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.

KW - Molecular communication

KW - performance analysis

KW - porous media

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U2 - 10.1109/TMBMC.2019.2937297

DO - 10.1109/TMBMC.2019.2937297

M3 - Article

SN - 2332-7804

VL - 4

SP - 257

EP - 262

JO - IEEE Transactions on Molecular, Biological, and Multi-Scale Communications

JF - IEEE Transactions on Molecular, Biological, and Multi-Scale Communications

IS - 4

M1 - 8813106

ER -

Molecular Information Delivery in Porous Media

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