Influence of Tissue Anisotropy on Molecular Communication.

Many biological tissues inside the human body exhibit highly anisotropic diffusion properties; for example, tissues of the nervous system and white matter in the brain. Here, we present an improved stochastic molecular communication framework to model interaction between bionanomachines in three-dimensional (3D) anisotropic brain micro-environment. The results obtained using stochastic particle-based simulation model are validated with analytical expressions. We also derive expressions for peak amplitude and peak time for the received molecular signal. The results demonstrate that the channel impulse response in anisotropic biological media depends significantly on the diffusion tensor as well as on the locations of the nanomachines.

Impact of Reactive Obstacle on Molecular Communication between Nanomachines.

Molecular communication is an emerging technology for communication between bio-nanomachines in an aqueous environment. In this paper, we examine the effect of a reactive obstacle, which is placed in the diffusive molecular communication channel, on the expected number of the received molecules at the receiver. We develop a particle-based simulator that can predict the number of the received molecules for both passive and absorptive receivers by considering the impact of the reactive obstacle within the communication channel. The impacts of the reaction probability and radius of the obstacle on the received signal are examined and compared with the case of absence of the obstacle. The results show significant impact for the obstacle on the received signal, particularly, for obstacle with high reaction probability and large size.