Optimizing Targeted Drug Delivery through Hierarchical Network-Based Molecular Communication System

We introduce an innovative Molecular Communication (MC) system designed for efficient targeted drug delivery, leveraging a hierarchical network-based mechanism. This approach revolutionizes how nanomedicines are delivered, transforming the nanoparticle's motions in blood vessel networks into an information transfer process within a virtual network. Given that much of the current work focuses on the physical layer of molecular communication, we focus more on the network layer. Our work abstracts the pharmacokinetics nature of drug delivery within complex vascular networks into a stratified routing network. This abstraction allows for the optimization of drug delivery by adjusting key parameters at the network application layer. Our robust model replicates the drug delivery process while effectively modeling the vascular network's complexity. Simulation results demonstrate the feasibility of applying topology inference algorithms to vascular networks. Through a defined parameter acquired from the physical layer, the successful transmission rate, we achieve the extraction of vascular network topology. Furthermore, our approach validates the potential of employing tomography techniques within a biological setting, viewed through the prism of a layered network. This advancement in MC opens new avenues for optimizing drug delivery systems, promising improvements in targeted therapeutic interventions.