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    Communication Through Breath Using Molecular Communication Modeling in Indoor Environments

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    Name:
    Nojood Almayouf_MS_Final Thesis.pdf
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    683.9Kb
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    Description:
    thesis
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    Type
    Thesis
    Authors
    Almayouf, Nojood cc
    Advisors
    Alouini, Mohamed-Slim cc
    Committee members
    Alouini, Mohamed-Slim cc
    Al-Naffouri, Tareq Y. cc
    Amin, Osama cc
    Dahrouj, Hayssam cc
    Program
    Electrical and Computer Engineering
    KAUST Department
    Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
    Date
    2019-11
    Permanent link to this record
    http://hdl.handle.net/10754/660192
    
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    Abstract
    The concept of communication via breath is introduced under the molecular com munication system, where data can be exchanged through inhalation and exhalation. Those data are carried by volatile organic compounds (VOCs) or pathogens and transferred through an aerosol channel. In this thesis, we propose a molecular com munication model for an instantaneous source in a bounded indoor environment. The walls of this environment could be reflectors and/or absorbers by adjusting the value of deposition velocity. We assume a puff source in a given location and study the per formance of a point source since it is the basic element that can be used to derive the concentration of breath, cough, and sneezing, where the concentration of continuous source can be found by integrating a point source over space and time domains. Also, we show some numerical results to visualize the performance of these mathematical models and evaluate them. As a case study, we consider a real-life scenario of detecting a virus from an exhaled breath of a person standing in an indoor bounded room with reflective and absorptive walls. We derive the spatial-temporal concentration of an exhaled virus at the molecules source and the receiver in the room. Finally, we study the probability of misdetection using a suitable bio-sensor.
    Citation
    Almayouf, N. (2019). Communication Through Breath Using Molecular Communication Modeling in Indoor Environments. KAUST Research Repository. https://doi.org/10.25781/KAUST-4SK53
    DOI
    10.25781/KAUST-4SK53
    ae974a485f413a2113503eed53cd6c53
    10.25781/KAUST-4SK53
    Scopus Count
    Collections
    MS Theses; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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