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Bio-nanomachines are designed for targeted drug delivery in the human body. Sometimes the drug is not distributed properly to the intended receiver due to the biochemical reactions and the possible bindings of drug molecules. The blockchain analogy for Bio-Nano has paved new ways for secure drug delivery. The drug molecule is protected with the help of protein cryptography and genetic signature. A protein membrane attached to the drug molecule acts as an encryption key and will be decrypted after matching with the Receiver's unique composition. But, in cellular biology, the protein membrane structures exhibit symmetries. So there is a high chance that the unintended tissues/organs might receive the drug. Hence the required dosage of the drug will not reach the intended receiver. In our proposal, we are dealing with the appropriate and secure drug delivery for the symmetrical Receivers. A Control Unit monitors the statistics of a Transmitter nanomachine and two Receiver nanomachines to ensure appropriate drug dosage and delivery. We evaluated the Inter-Arrival Time of molecules in a Poisson process following exponential distribution and the Probability of Successful Transmission of molecules. We have also analyzed the possibilities of the malfunctioning of nanomachines. The good working condition of nanomachines improved both the Probability Density Function of the Inter-Arrival Times and the Probability of Successful Transmissions. In our work, we stick to the maximum number of re-transmissions as only '1' and achieved a high Probability of Successful Transmissions.
Bulasara et al. (Thu,) studied this question.