Abstract
In this intelligent era, vehicles are exploited for a different mobile sensor activity. Vehicular delay tolerant network is the application of delay tolerant network. Nowadays, when conventional network does not work or fails in the emergency situation, vehicular delay tolerant networks provide solutions. Vehicular delay tolerant networks is very useful for solving many problems such as sensor-based applications, intelligent traffic, weather forecasting and many more delay tolerant services like campus information services etc. Many more delay adaptive services to save infrastructure-based network load, and these type of networks are very successful. For efficient routing strategy, the efficient selection of vehicular relay node is very important. So in this chapter, we have proposed “vehicular delay tolerant network-based communication using machine learning classifiers.” First, we have analyzed which machine learning classifier is the best solution for our problem. We have used machine learning classifiers for filtering efficient vehicular nodes, so that packets can be delivered from source to destination.
