Abstract
In the last decade, Bio-inspired and engineered molecular nano communication (MNC) has gained innumerable attention from researchers and facilitated the world with a different technological breakthrough. Developing new propagation models and investigating the transmission efficiency over the propagation channel are prime research concerns in MNC. The prime objective of the research is to examine the effect of different impairments on diffusion-based molecular nano communication (DMNC) over the different biological environments. Further, secrecy analysis of encoded biomolecules carrying information is included under radiation absorption noise (RAN). Furthermore, different temporal parameters of DMNC are investigated. Specifically, this thesis includes investigation on the following: Error probability and throughput, secrecy outage probability, probability of non-zero secrecy capacity, rise time and fall time, PDF of received PSD signal and Probability of interference for DMNC system under different deployments.
A closed-form of expression for error probability of DMNC system in the presence of RAN under non-equal transmission probability has been proposed. Also, throughput has been derived and analyzed for the system under consideration. The effect of polarization factor and frequency of incident EM wave along with impedance of human tissues on both error probability and throughput has been investigated numerically. In addition, information secrecy in diffusive MNC under RAN has been presented. In particular, a closed-form expression for the secrecy outage probability and Probability of Non-zero capacity has been derived for DMNC under RAN. Again, polarization factor and target secrecy rate have been included in the analysis by taking Bob’s and Eve’s SNRs both into consideration. Furthermore, rise time and fall time during transmission of information have been presented, followed by numerical analysis. Finally, a closed-form of expression for PDF of the received PSD and probability of interference over a spherical environment has been derived. Maple-18 has been used to simulate the results.