Message dissemination dynamics in biological communication systems: A reaction-diffusion approach

Abstract

Biological systems ranging from simple ecology models to biochemical interactions in molecular biology, have profited profoundly by the advances and potentials of nanotechnology, especially those in lower dimensions. Molecular nanonetworks, the outcome of this adjacency, have been under great growth, the result of which was the establishment of molecular communication paradigm. Under this paradigm, we study the message dissemination dynamics in a biological communication system, by a model typical of electromagnetic networks. Applying a reaction-diffusion mathematical model of double diffusivity in a biological communication system, we compare the outcome with the simulation results. To this aim and based on a commercial tool, a set of efficient simulation scenarios, for the precise prediction of message dissemination dynamics were run, under the newly developed simulation framework. In particular, single and multiple sources of stimuli for different bacterial speeds and specimen geometries have been simulated. Results reveal that the message dissemination process in such bionanonetworks, can be successfully described by the reaction diffusion model, supporting the use of macro-scale simulation methods.