Characterisation of the In-vivo Terahertz Communication Channel within the Human Body Tissues for Future Nano-Communication Networks.

PhDBody centric communication has been extensively studied in the past for a range of frequencies, however the need to reduce the size of the devices makes nano-scale technologies attractive for future applications. This opens up opportunities of applying nano-devices made of the novel materials, like carbon nano tubes (CNT), graphene and etc., which operate at THz frequencies and probably inside human bodies. With a brief introduction of nano-communications and review of the state of the art, three main contributions have been demonstrated in this thesis to characterise nano-scale body-centric communication at THz band: • A novel channel model has been studied. The path loss values obtained from the simulation have been compared with an analytical model in order to verify the feasibility of the numerical analysis. On the basis of the path loss model and noise model, the channel capacity is also investigated. • A 3-D stratified skin model is built to investigate the wave propagation from the under-skin to skin surface and the influence of the rough interface between different skin layers is investigated by introducing two detailed skin models with different interfaces (i.e.,3-D sine function and 3-D sinc function). In addition, the effects of the inclusion of the sweat duct is also analysed and the results show great potential of the THz waves on sensing and communicating. • Since the data of dielectric properties for biological materials at THz band are quite scarce, in collaboration with the Blizard Institute, London, UK, different human tissues such as skin, blood, muscle and etc. are planned to be measured with the THz Time Domain Spectroscopy (THz-TDS) system at Queen Mary University of London to enrich the database of electromagnetic parameters at the band of interest. In this chapter, collagen, the main constitution of skin was i mainly studied. Meanwhile, the measured results are compared with the simulated ones with a good agreement. Finally, a plan for further research activities is presented, aiming at widening and deepening the present understanding of the THz body-centric nano-communication channel, thus providing a complete characterisation useful for the design of reliable and efficient body centric nano-networks. iiChina Scholarship Council Queen Mary University of Londo

Efficient Communication Protocols for Wireless Nanoscale Sensor Networks

Advances in nanotechnology are paving the way for wireless nanoscale sensor networks (WNSNs), promising radically new applications in medical, biological, and chemical fields. However, the small scale poses formidable challenges for communication. First, small nanomaterial-based antennas communicate in the terahertz band, which coincides with the natural resonance frequencies of many types of molecules causing severe molecular absorption and noise. The problem is particularly complicated if the molecular composition of the channel changes over time, causing time-varying absorption and noise. Second, as it is not practical to fit large batteries or replace batteries in a small device, these devices are expected to power themselves by harvesting ambient energy from the environment. However, the amount of energy that can be harvested is directly proportional to the size of the harvester. A nanodevice therefore can generate only a tiny fraction of its total power consumption, which requires us to rethink the design of communication protocols for self-powering WNSNs. In order to address aforementioned challenges, this thesis makes three fundamental contributions. First, it proposes dynamic frequency and power selection as a means to overcome the first problem, i.e, changing molecular composition problem in a time-varying terahertz channel. The dynamic frequency/power selection problem is modelled as a Markov Decision Process to derive the optimal solutions, while several practical heuristics are proposed that achieve close to optimal solutions. Second, to address the severe power shortage problem in a self-powering nanodevice, this thesis proposes a mechanism to exploit the information contained in the energy harvesting data to detect the energy-dissipating events occurring in the environment. This form of event monitoring makes dual use of the energy-harvesting unit in the nanodevice, i.e., it is used to generate power as well as monitor the environment, thus saving significant energy, which otherwise would have been used to power the onboard sensors. Finally, novel WNSN applications are designed and analysed to monitor and control chemical reactors at the molecular level with the ultimate goal of increasing the selectivity of the reactor. It is shown that using the proposed communication protocols for a time-varying terahertz channel, the selectivity of the reactor can be significantly increased, beyond what can be achieved with conventional solutions

Characterisation of Skin-based THz Communication Channel for Nano-scale Body-centric Wireless Networks

PhDIn pursuit of enhancing the capabilities of healthcare diagnostics and monitoring, the electromagnetic spectrum has been utilized efficiently from the MHz up to THz and beyond. The era of smart phones, wearable devices and on-body networks have unfolded plethora of health applications with efficient channel communication mechanisms, faster data transfer rates and multi-user functionalities. With the advancement in material fabrication and spectroscopic techniques, a new realm of healthcare nanodevices have emerged with immense potential to garner in-depth information of the human body, real-time of tissue morphology, molecular features, hydration level and atmospheric water vapour on channel parameters. In addition to this, engineered skin substitute models: 2D collagen and 3D organotypics, are investigated to address the importance of individual biological features comprising of water dynamics and cell culture, affecting the channel parameters. The experimental results of various tissue samples, skin substitutes and numerical evalua-tion of channel parameters can be used to further improve the communication capabilities of in-body nanonetworks. The original contributions on characterization of skin substitutes can be applied to study various health conditions, effects of drugs and skin ageing on a molecular level. The results presented in this thesis, foresee an increasing demand in skin substitute models due to their biological flexibility and control according to desired medical applications. monitoring and tackle medical emergencies. A collection of these devices with sensing capabilities together form a nanonetwork performing computing tasks such as storage, actuation, data transfer and communication. The thesis brings forth the analysis and optimization of channel parameters; such as pathloss and molecular noise temperature, when the proposed in-body nanodevices communicate amongst each other in the terahertz (THz) range. The novel contribution of the work is mapping the optical properties of human skin by bringing together the measurement of various skin tissues and its influence on channel parameters. In the later part of the thesis, emphasis is given on the individual biological entities of the tissue contributing to channel parameters, such as collagen as an abundant protein, variation in fibrous extra-cellular matrix due to fibroblast cells and amalgamation of different layers; namely, epidermis and dermis of the skin. Recently proposed graphene-based antennas resolve the cumbersomeness of existing medical devices by drastically reducing its size to a few hundreds of nanometres. These biocompatible nanodevices focus on exchanging the intricate details of the human body via nanoscale electromagnetic communication in the terahertz domain of the spectrum. The thesis aims to investigate the material properties of skin tissues with terahertz time do-main spectroscopy and numerically evaluate the channel parameters for in-body nanoscale networks that potentially would form an essential part of a hierarchical body-centric communication network extending from inside the human body to a wider community network. The results are presented in regards to the complexity of human tissue as a channel medium. The measured refractive index and absorption coefficient data is applied to numerically calculate channel pathloss and molecular noise temperature. The results provide a real-time analysi

Biosensors for Diagnosis and Monitoring

Biosensor technologies have received a great amount of interest in recent decades, and this has especially been the case in recent years due to the health alert caused by the COVID-19 pandemic. The sensor platform market has grown in recent decades, and the COVID-19 outbreak has led to an increase in the demand for home diagnostics and point-of-care systems. With the evolution of biosensor technology towards portable platforms with a lower cost on-site analysis and a rapid selective and sensitive response, a larger market has opened up for this technology. The evolution of biosensor systems has the opportunity to change classic analysis towards real-time and in situ detection systems, with platforms such as point-of-care and wearables as well as implantable sensors to decentralize chemical and biological analysis, thus reducing industrial and medical costs. This book is dedicated to all the research related to biosensor technologies. Reviews, perspective articles, and research articles in different biosensing areas such as wearable sensors, point-of-care platforms, and pathogen detection for biomedical applications as well as environmental monitoring will introduce the reader to these relevant topics. This book is aimed at scientists and professionals working in the field of biosensors and also provides essential knowledge for students who want to enter the field

Characterizing terahertz channels for monitoring human lungs with wireless nanosensor networks

We characterize terahertz wireless channels for extracting data from nanoscale sensors deployed within human lungs. We discover that the inhalation and exhalation of oxygen and carbon dioxide causes periodic variation of the absorption coefficient of the terahertz channel. Channel absorption drops to its minimum near the end of inhalation, providing a window of opportunity to extract data with minimum transmission power. We propose an algorithm for nanosensors to estimate the periodic channel by observing signal-to-noise ratio of the beacons transmitted from the data sink. Using real respiration data from multiple subjects, we demonstrate that the proposed algorithm can estimate the minimum absorption interval of the periodic channel with 98.5% accuracy. Our analysis shows that by confining all data collections during the estimated low-absorption window of the periodic channel, nanosensors can reduce power consumption by six orders of magnitude. Finally, we demonstrate that for wireless communications within human lungs, 0.1–0.12 THz is the least absorbing spectrum within the terahertz band