Abstract
Network congestion is a serious problem affecting high density network. In vehicular context, the traffic conditions and the huge amount of messages sent by vehicles make this problem concrete. The more the network congestion increases, the more the VANET (Vehicular ad Hoc Network) safety is put at risk. Typically, this problem is faced by acting a congestion detection followed by a congestion control strategy that schedules the messages transmission using some metrics to decide which messages have to be assigned the highest priority. By analyzing vehicles behavior in VANETs, we observed that the very propagation mechanism behind inter-vehicular communication allows redundant transmissions, that might favor network congestion. For this reason, in this work, we want to propose a starting preliminary phase allowing the redundancy detection and, hence, the congestion prevention. Following this approach, the congestion control strategies need to be applied less frequently than before. By means of Petri Net modeling language, we explain the behavior of a vehicle adopting the proposed strategy.
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Balzano, W., Stranieri, S. (2019). Data Dissemination in Vehicular Ad Hoc Network: A Model to Improve Network Congestion. In: Barolli, L., Takizawa, M., Xhafa, F., Enokido, T. (eds) Web, Artificial Intelligence and Network Applications. WAINA 2019. Advances in Intelligent Systems and Computing, vol 927. Springer, Cham. https://doi.org/10.1007/978-3-030-15035-8_83
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DOI: https://doi.org/10.1007/978-3-030-15035-8_83
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