Desarrollo de un sistema de transmisión de contenidos entre drones y vehículos mediante difusión
In recent years, the use of drones has rapidly spread due to their wide scope of application. On the other hand, vehicular networks have evolved very fast because the vehicles are equipped with wireless communication devices. If we integrate these two elements, drones and vehicular networks, very in...
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2017 |
| País: | España |
| Institución: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | español |
| OAI Identifier: | oai:riunet.upv.es:10251/86057 |
| Acceso en línea: | https://riunet.upv.es/handle/10251/86057 |
| Access Level: | acceso abierto |
| Palabra clave: | content diffusion Android Raptor Raspberry Pi Drones Difusión de contenidos ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES Máster Universitario en Ingeniería de Computadores y Redes-Màster Universitari en Enginyeria de Computadors i Xarxes |
| Sumario: | In recent years, the use of drones has rapidly spread due to their wide scope of application. On the other hand, vehicular networks have evolved very fast because the vehicles are equipped with wireless communication devices. If we integrate these two elements, drones and vehicular networks, very interesting and highly novel solutions can be achieved. In this work, we develop a system for the delivery of the contents from a drone equipped with Raspberry Pi to terrestrial vehicles (cars, buses, trucks, etc). The information (image, voice, image+voice or short video) will be encoded at the application level using Raptor codes (Forward Error Correction), and then broadcasted using IEEE 802.11a technology, being simultaneously received by any number of the vehicles, and then rebuilt and displayed in an Android terminal. The proposed Content Delivery System has reached its final development status, and has successfully been tested experimentally. Test have been performed using different mobile devices, allowing us to perform a comparative study to determine which devices are better adapted to our system. |
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