Fundamentals of Clustered Molecular Nanonetworks

We present a comprehensive approach to the modeling, performance analysis, and design of clustered molecular nanonetworks in which nano-machines different clusters release an appropriate number molecules transmit their sensed information respective fusion centers. The centers decode this by counting received given time slot. Owing propagation properties biological media, setup suffers from both inter- intra-cluster interference that needs be carefully modeled. To facilitate rigorous we first develop novel spatial model for modeling as Poisson cluster process with forming its parent point process. For setup, derive new set distance distributions three-dimensional space, resulting remarkably simple result special case Thomas Using this, total previous symbols is characterized expected value Laplace transform are obtained. error probability detector suitable applications analyzed, approximate upper-bound results provided. impact parameters on also investigated.