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Assessing social aspects of urban vehicular scenarios for improving message diffusion

Abstract:

Message diffusion in Vehicular Networks takes place upon the establishment of ephemeral contacts among vehicles. This approach has one severe limitation: since the amount of information transmitted in a contact is limited by the transmission speed and the contact duration, large messages are not likely to be exchanged, and thus their diffusion is severely limited. In this paper, we study the impact that different social aspects have on the spreading of messages, showing that splitting a large message into smaller parts can improve its diffusion. Based on this idea, we propose an extension of the epidemic protocol called Xpread. We have developed an analytical model based on Population Processes to evaluate the impact and the efficiency of the partition scheme, showing that a fixed size partition is the best option, while also providing a simple expression to obtain the optimal size. Finally, we show that the diffusion of the messages is improved up to two times with a slight reduction in the delivery time and overhead. These results were also confirmed with simulation experiments.