Duality between Coronavirus Transmission and Air-based Macroscopic Molecular Communication
arXiv:2009.04966 · doi:10.1109/TMBMC.2021.3071747
Abstract
This contribution exploits the duality between a viral infection process and macroscopic air-based molecular communication. Airborne aerosol and droplet transmission through human respiratory processes is modeled as an instance of a multiuser molecular communication scenario employing respiratory-event-driven molecular variable-concentration shift keying. Modeling is aided by experiments that are motivated by a macroscopic air-based molecular communication testbed. In artificially induced coughs, a saturated aqueous solution containing a fluorescent dye mixed with saliva is released by an adult test person. The emitted particles are made visible by means of optical detection exploiting the fluorescent dye. The number of particles recorded is significantly higher in test series without mouth and nose protection than in those with a wellfitting medical mask. A simulation tool for macroscopic molecular communication processes is extended and used for estimating the transmission of infectious aerosols in different environments. Towards this goal, parameters obtained through self experiments are taken. The work is inspired by the recent outbreak of the coronavirus pandemic.
9 pages, 6 figures, submitted to IEEE Transactions on Molecular, Biological, and Multi-Scale Communications for the special issue "Section II: Molecular Communications for Diagnostics and Therapeutic Development of Infectious Diseases"
References in corpus (1)
Cited by in corpus (5)
- Experimental Research in Synthetic Molecular Communications -- Part II: Long-Range Communication
- Infectious Disease Transmission via Aerosol Propagation from a Molecular Communication Perspective: Shannon Meets Coronavirus
- Mobile Human Ad Hoc Networks: A Communication Engineering Viewpoint on Interhuman Airborne Pathogen Transmission
- Localization of a Passive Source with a Sensor Network based Experimental Molecular Communication Platform
- A Computational Approach for the Characterization of Airborne Pathogen Transmission in Turbulent Molecular Communication Channels