Abstract: VANETs are an important part of intelligent transport systems. This can be seen as a network of vehicles that communicate autonomously and unequally. The dynamic topology of vehicles leads to an unexpected change in the network topology, as it poses a significant challenge for VANET information dissemination, which is efficient and scalable. The probabilistic clustering and clustering strategy provides a breakdown of the synchronization between space, time, and communication entities, as it adapts better to the VANET-like environment, but increases the load on the network by grouping the same amount together times in the directory network. In this article, we propose our systematic grouping or clustering and programming approach for the spreading of information in VANET. In our approach, we assume a stable VANET network, consisting of static information stations and moving vehicles, with the vehicle choosing its cluster leader or head, who is responsible for its downlink communication, with each group's vehicle planning algorithm. . The support will be communicated and the cluster manager will decide on the programming mode and the node that will transmit this programming to the cluster. The results of the simulation show that our approach works well with an increasing number of vehicles, which reflects its applicability.


PDF | DOI: 10.17148/IJARCCE.2019.8909

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