Contribution to the system architecture design for electromagnetic nano-network communications
(English) A nano-network is a communication network at the nano-scale between nano-devices. Nanodevices face certain challenges in functionalities, because of limitations in their processing capabilities and power management due to their nano-scale size. One of these challenges is the ability to per...
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| Tipo de recurso: | tesis doctoral |
| Estado: | Versión publicada |
| Fecha de publicación: | 2022 |
| País: | España |
| Institución: | CBUC, CESCA |
| Repositorio: | TDR. Tesis Doctorales en Red |
| OAI Identifier: | oai:www.tdx.cat:10803/687335 |
| Acceso en línea: | http://hdl.handle.net/10803/687335 https://dx.doi.org/10.5821/dissertation-2117-379463 |
| Access Level: | acceso abierto |
| Palabra clave: | Àrees temàtiques de la UPC::Enginyeria electrònica 621.3 |
| Sumario: | (English) A nano-network is a communication network at the nano-scale between nano-devices. Nanodevices face certain challenges in functionalities, because of limitations in their processing capabilities and power management due to their nano-scale size. One of these challenges is the ability to perceive partial or full routing tables, which are the main decision makers for data routing in legacy communication networks. The reason is that creating and updating routing tables continuously require adequate processing power with sufficient memory and computing capabilities, which is not the case with nano- devices. Hence, these devices are expected to perform simple tasks, which equire different and novel approaches. In order to exploit the different functionalities of nano-machines, a set of nano-devices in a full nano-network needs to be managed and controlled using an appropriate architecture. This step will enable unrivaled applications in different fields. An Electromagnetic (EM) nano-network is a type of nano-communication that uses terahertz (THz) EM waves in communication. Nano-network has attracted increasing attention in recent years. Consequently, several developments have been achieved in the fabrication, communication and management of various EM nano network devices serving potential applications ranging from software- defined metamaterials, wireless robotic materials and body-centric communication. Such applications need uplink and downlink communication between the deployed nano-network and the external macro- world or the Internet through nano-interfaces. This causes heterogeneity and interoperability in different Internet of Nano-things (IoNT) applications, which become new challenges for nano-network communication. In this regard, dynamic, flexible and distributed micro/nano gateways can accommodate such sustainable issues and make the nano-network fully operational, regardless of the adopted application domain or the protocols used in communication. With the arrival of the Internet of Things (IoT), the use of the Internet has transformed, where various types of objects, sensors and devices can interact, making future networks connect nearly everything from traditional network devices to people. It is worth remarking that Software Defined Networking (SDN) and Network Function Virtualization (NFV) are two useful technologies for IoT. By outlining the way of combining SDN, NFV, IoT and fog computing technologies altogether, nano- network can overcome its challenges and limitations. The main objective of this thesis is to contribute to the system architectural design of EM nano- networks by developing an operational communication architecture to allow nano-machines to access the Internet. This communication architecture uses next-generation network technologies such as IoT and fog computing, besides well-known virtualization network technologies such as SDN and NFV to guarantee such accessibility. In addition, this communication architecture will provide added value to the data routing in the nano-network paradigm, whether inside the nano-domain or towards the macro- domain by providing virtualization and externalization of the complex routing decisions to be compiled externally on a powerful data center hosted on the cloud. The nano-machines will be able to access the cloud with the aid of smart hybrid devices called micro/nano-gateways, which provide two-way communication between nano-machines and the cloud. This two-way communication allows the end-user to easily control and manage a group of nanomachines expanding various applications in different fields. Moreover, it allows the nano-machines to store their measurements on the cloud, providing very large sets of data that are generated by a variety of nano-sensors/actuators forming big data, where Machine Learning (ML) approaches are used to perform complex analysis, intelligent judgments and creative problem solving on this big data extracting valuable information. |
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