الفهرس | Only 14 pages are availabe for public view |
Abstract Thanks to nanotechnology, synthetic biology can engineer live cells as biosensor devices, and nanotechnology can produce electronic devices at the nanoscale. Molecular communication (MC), a novel communication technique where information transfer is based on exchange of molecules, emerges as a solution to establish communication among these natural and man-made biological and electronic devices at nanoscale. When complemented with existing wireless communications technologies, MC will enable a network of these devices, called Internet of Bio-Nano Things (IoBNT). The focus of this thesis is to model a targeted drug delivery system (TDDs) based on IoBNT using MC, where nano devices are considered both as devices generating MC signals, the blood vessel network is the communication channel, and the specialist is the receiver. The main contributions of this thesis are: A multi compartmental model for targeted drug delivery based on IoBNTs is proposed. The proposed model is formulated as a set of multi-differential equations that are used to identify molecular communication-based bio-nanomachines, allowing it to quantify drug concentration to the targeted cell. Unlike the common compartmental models, the present model is suggested to be able to connect the exterior and interior of the human body. The findings indicate that the model has the potential to enhance the capacity of target cells to respond to therapeutic drugs and decrease the negative impact on healthy cells. A multi-compartmental model with artificial intelligence (AI) bio-cyber interface is introduced. An artificial intelligence bio-cyber interface (AIBCI) in both the forward and reverse directions can transfer/control the desired dose without affecting healthy cells in the body, with the help of the Internet of biological Nano Things (IoBNT). The proposed model is formulated as a set of multi-differential equations that are used to identify molecular communication-based bio nanomachines, allowing it to quantify drug concentration to the targeted cell. The results indicate that the model is able to improve target cells ability to respond to therapeutic medications while reducing the adverse effects on healthy cells. A ciphered framework that is placed on top of the physical cyber interface for providing security to the IoBNT paradigm is proposed. The proposed framework relies on sending a command signal by medical staff to a physical cyber interface device implanted in the patient body, which generates a masked version of a feature using a modified quadratic map to increase the privacy of human life and release the precise dosage. Also, the proposed scheme incorporates binary phase shifting key modulation by adding a carrier wave and feature extraction with zero crossing rate. Finally, the privacy scheme broadens the key space, ensuring that the correct dosage is released and that human life privacy is attained. Moreover, simulation experiments were conducted to evaluate the effects of varying physical parameters on the performance of the proposed multi compartmental model |