Lanterna Rally

Author: Simon Sassine Assaf

Publisher:

Published: 2019

Total Pages: 0

ISBN-13:

Nanotechnology is widely seen as having huge potential to bring benefits to many areas of research and application. Nowadays, research studies are focusing on realizing nano-machines on the order of nanometers in size. A nano-machine is capable of performing simple tasks such as computing, data storing, sensing, and actuation. The capability for such nano-machine to communicate with each other would considerably expand their potential. Thereby, in order to fulfill more complex tasks nano-networks are needed. Indeed, nanonetworks are the connection and cooperation of millions of nano-machines. However, the traditional mechanisms used in traditional communication networks have been found inappropriate at the nano-scale. Thus, to enable this cooperation between nano-machines, several communication mechanisms have been proposed. Among the different methods for interconnecting nano-machines, Molecular Communications (MC) system is considered one of the most promising mechanisms, which is biologically plausible and occurs in living beings. MC uses physical molecules as information carriers. By employing molecules as information carriers, MC has quickly emerged as a bio-inspired approach. The exchange of information between the transmitter and an intended receiver is carried out via the transmission, propagation, and reception of molecules. The communication range of molecular communications can range from short-range to long-range. The focus of this Ph.D. thesis is on the most fundamental type of molecular communication, namely, Diffusion-based Molecular Communication (DMC) where the propagation of information molecules between a transmitter and a receiver is realized through free diffusion in a fluid environment. It begins by investigating and modeling the neuronal physical layer (layer 1) to understand better through simulation, and then to derive the appropriate performance metrics imposed by a point-to-point neuron neighboring receivers link, as well as by the Single Input Multiple Output (SIMO) network. Following that, the aim is to caracterize the physical channel of the neuron-to-neuron communication system, and to analyze the effect of the toxic proteins aggregation on the brain since this accumulation turns out to be the main reason behind chronic neurodegenerative disorder as in Alzheimer's disease, then ultimately to come up with a complete sense-actuation closed-loop system vision for fighting this neurodegenerative disorder. Lastly, the goal is to build a mathematical model to track the movement of spermatozoa during the process of chemotaxis, to describe better through simulation, to understand by quantifying the communication problem, then to investigate the effect of varying the appropriate metrics on the arrival time of the spermatozoa and then to propose new treatments which are more reliable, and less expensive than the existing one. It is concluded that the proposed study will provide to synthetic biology design oriented guidelines. In addition, this study presents new solutions for treating diseases which establish a new vision of dealing with them, as well as serve as guidelines for the medical committee.