Coverage Modelling of Molecular Communication Based Nano Machines Network for the IoT

Wireless sensor networks are an integral part of the IoT. However, electrical energy based WSNs may not be suitable for all prospective applications of it. This paper envisages molecular communication based nano machines network as a sensor network to be used in the IoT. These futuristic networks are meant to be pervasive, energy efficient, biocompatible and adept to work in the aqueous media. A probabilistic coverage model under normal and sub-diffusive regime is developed. Simulation results prove that the node coverage is a Gaussian process whose mean is related to coverage time by power law. Also, it is proved that the presence of physical obstructions in the medium reduces coverage by 3-6% depending on the extent of sub-diffusion.