Analyzing downloaded data from road side units
Abstract
ABSTRACT
In the context of vehicular networks a map updating application was analyzed, which enables vehicles to download relevant geographic data related to their position. Possible strategies for data sharing are the networks from infrastructure to a vehicle (I2V) and from vehicle to vehicle (V2V). In this study two chunking techniques, the Random Sort Strategy (RSS) and the Network Coding (NC), for the I2V network segment were compared. The study revealed that the distribution of different received chunks is independent of the file size when NC is used; when RSS is used the mean and standard deviation depend on the file size. The authors intend to integrate in a next step these results in the analysis of the V2V network segment.
Keywords: V2V, VANet, map update, network coding, random sort strategy.
RESUMEN
En el contexto de las redes vehiculares, analizamos una aplicación de descarga de mapas, donde cada vehículo descarga datos de mapas relevantes según su posición. Entre las estrategias propuestas está la de utilizar las redes con infraestructura (I2V) además de las redes vehículo a vehículo (V2V). En este trabajo comparamos dos métodos de fragmentación de archivos, para el segmento I2V; los métodos son Random Sort Strategy (RSS) y Network Coding (NC). Encontramos que: cuando se utiliza NC la distribución de los diferentes fragmentos recibidos es independiente del tamaño del archivo. Cuando se utiliza RSS, la media y la desviación estándar dependen del tamaño del archivo. Estos resultados serán utilizados para el análisis del segmento V2V de la red.
Palabras clave: V2V, VANet, actualización de mapas, network coding, random sort strategy.
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References
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