Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/10221
Title: A Droplet-based signal reconstruction approach to channel modeling in molecular communication
Authors: Güleç, Fatih
Atakan, Barış
01. Izmir Institute of Technology
01. Izmir Institute of Technology
Keywords: Airborne pathogen transmission.
Channel modeling
Macroscale molecular communication
Practical models
Signal reconstruction
Issue Date: 2021
Publisher: Institute of Electrical and Electronics Engineers Inc.
Abstract: In this paper, a novel droplet-based signal reconstruction (SR) approach to channel modeling, which considers liquid droplets as information carriers instead of molecules in the molecular communication (MC) channel, is proposed for practical sprayer-based macroscale MC systems. These practical MC systems are significant, since they can be used in order to investigate airborne pathogen transmission with biological sensors due to the similar mechanisms of sneezing/coughing and sprayer. Our proposed approach takes a two-phase flow which is generated by the interaction of droplets in liquid phase with air molecules in gas phase into account. Two-phase flow is combined with the SR of the receiver (RX) to propose a channel model. The SR part of the model quantifies how the accuracy of the sensed molecular signal in its reception volume depends on the sensitivity response of the RX and the adhesion/detachment process of droplets. The proposed channel model is validated by employing experimental data. IEEE
URI: https://doi.org/10.1109/TMBMC.2020.3043484
https://hdl.handle.net/11147/10221
ISSN: 2332-7804
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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