S
Sunasheer Bhattacharjee
Researcher at University of Kiel
Publications - 14
Citations - 93
Sunasheer Bhattacharjee is an academic researcher from University of Kiel. The author has contributed to research in topics: Molecular communication & Communication channel. The author has an hindex of 3, co-authored 11 publications receiving 25 citations.
Papers
More filters
Journal ArticleDOI
Infectious Disease Transmission via Aerosol Propagation from a Molecular Communication Perspective: Shannon Meets Coronavirus
Max Schurwanz,Peter Adam Hoeher,Sunasheer Bhattacharjee,Martin Damrath,Lukas Stratmann,Falko Dressler +5 more
TL;DR: In this tutorial, aerosol and droplet transmission is modeled as a multiuser scenario with mobile nodes, related to broadcasting and relaying, in the application of pathogen-laden aerosol transmission.
Proceedings ArticleDOI
A testbed and simulation framework for air-based molecular communication using fluorescein
Sunasheer Bhattacharjee,Martin Damrath,Fabian Bronner,Lukas Stratmann,Jan Peter Drees,Falko Dressler,Peter Adam Hoeher +6 more
TL;DR: This work emulates the system by introducing an air-based macroscopic molecular communication testbed, exploiting the fluorescence property of a water-based solution of an organic compound called fluorescein, to achieve higher data transmission rates.
Journal ArticleDOI
Duality Between Coronavirus Transmission and Air-Based Macroscopic Molecular Communication
Max Schurwanz,Peter Adam Hoeher,Sunasheer Bhattacharjee,Martin Damrath,Lukas Stratmann,Falko Dressler +5 more
TL;DR: In this article, the authors exploit the duality between a viral infection process and macroscopic air-based molecular communication to estimate the transmission of infectious aerosols in different environments.
Journal ArticleDOI
Investigation of Multiple Fluorescent Dyes in Macroscopic Air-Based Molecular Communication
TL;DR: An air-based macroscopic molecular communication testbed exploiting fluorescence properties of water-based solutions of Uranine and Rhodamine 6G is presented and a platform is set for implementing a multiuser scenario, where the same channel is made accessible to multiple users by simultaneous use of different dyes for data transmission with small co-channel interference.
Journal ArticleDOI
On Mutual Information Analysis of Infectious Disease Transmission via Particle Propagation
TL;DR: In this article, the authors evaluated the infection performance by means of a mutual information analysis, and by an even simpler probabilistic performance measure which is closely related to absorbed viruses, which depends on the distribution of the channel input events as well as the transition probabilities between channel input and output events.