Quorum Sensing-Based Nanonetwork Synchronization

Bacteria coordinate their behavior in a collective manner using a quorum sensing (QS) mechanism, where they employ secreted chemical signaling molecules called autoinducers (AIs) to communicate with each other. This letter presents a stochastic analytical model of QS-based nanonetwork synchronization. For this stochastic model, we first construct a molecular communication channel between the input bacterial density and output AI concentration. We then implement a logistic bacterial growth model, which simulates the birth-death process according to a Markov chain. We also derive mathematical expressions for the presented stochastic QS behavioral model, and numerically evaluate the model parameters, including the synchronization time.