Tesis Telecomunicaciones

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    Sistema inalámbrico de energía por fotosíntesis con tecnología IoT, para el monitoreo de invernaderos
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Telecomunicaciones, 2025-02) Quiroga Condo Diego Alexander; Pallo Noroña Juan Pablo
    The present project proposes to implement a wireless photosynthesis energy system with IoT technology, focused on the efficient monitoring of greenhouses. The system integrates renewable energy and wireless transmission through a rectenna, eliminating dependence on non-renewable sources. The biophotovoltaic system uses plants such as the Nephrolepis exaltata fern, generating energy from photosynthesis. With an effective leaf area of 0.5 m², the plants produce approximately 1,161 W per day, enough to power IoT sensors. The generated energy is transferred wirelessly with an efficiency of 85%, reaching a voltage of 7.99 V at the receiver. The IoT system includes temperature and humidity sensors, strategically distributed to collect real-time data and optimize greenhouse conditions. The data is stored in a cloud database, accessible through an interactive web interface. With 89% reliability, the system ensures continuous and sustainable monitoring, reducing operating costs and contributing to efficient environmental management. The results demonstrate that the technology is viable for low-energy agricultural applications, offering a scalable and adaptable model for different environments.
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    Infraestructura NFV con tecnología SDN para brindar servicios de red en IOT
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Telecomunicaciones, 2025-02) Telenchana Tenelema Alex Roger; Manzano Villafuerte Víctor Santiago
    The proliferation of IoT devices has created significant challenges in terms of network management, interoperability and scalability, which need to be addressed to ensure optimal and secure operation of these devices in various environments. For this reason, new technologies must be sought to expand the possibilities and satisfy the demand for these devices. Through virtualization, IoT applications have been allowed to be more efficient, flexible, scalable and economical, depending on network requirements. This research project studies virtualized network functions (NFV) and SDN networks, proposing a modern and adaptable infrastructure based on these emerging technologies. In the first instance, an infrastructure as a service (IaaS) implemented in OpenStack is presented, which includes cloud network services designed to support IoT applications. This virtualized environment allows you to efficiently manage and orchestrate resources, providing support for the creation of virtual machines that act as an IoT server and as a Ryu-based SDN controller. Secondly, a software-defined network (SDN) architecture is presented, in which a switch with the OpenFlow 1.3 protocol is implemented as an access point for IoT devices. Likewise, the virtual machine that hosts the SDN controller is equipped with a network management application designed to control packet flow and configure firewall rules on the SDN switch through a web interface, thus facilitating interoperability between the network. SDN and network functions virtualization (NFV) infrastructure
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    Soluciones de seguridad en sistemas iot de hogares inteligentes para mitigar riesgos y vulnerabilidades mediante la realización de pruebas de penetración
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Telecomunicaciones, 2024-02) Araujo Robalino, María Isabel; Cuji Rodríguez, Julio Enrique
    The Internet of Things (IoT) is revolutionizing the intercommunication between smart home devices. However, the security of these systems faces security challenges as more devices are incorporated, so effective solutions are needed to protect sensitive data and information integrity. The IoT system designed for this research is made up of a variety of devices common in smart homes, such as lights, switches, plugs, security cameras, motion sensors, and an "Alexa" voice assistant. Penetration testing on this system uses the Stride model, which analyzes six categories of threats: spoofing, data tampering, repudiation, information disclosure, denial of service, and elevation of privilege; to identify specific risks and vulnerabilities. Based on these results, measures are established to ensure the security of the system, including limiting access to authorized devices, assigning static IP addresses, and strong passwords in the router's configuration. In addition, specific tools are incorporated in the machine to monitor and control data traffic, allowing users to supervise their network’s status. The evaluation of the effectiveness of these measures reveals a mitigation of vulnerabilities of up to 64,052% in the total system. This highlights the effectiveness of the security measures applied. This high percentage of mitigation evidences the robustness of the system in protecting against possible attacks and guarantees a more secure environment for the system's IoT devices