Document worth reading: “Towards Intelligent Vehicular Networks: A Machine Learning Framework”

As wi-fi networks evolve in course of extreme mobility and providing increased assist for associated cars, quite a lot of new challenges come up on account of ensuing extreme dynamics in vehicular environments and thus motive rethinking of standard wi-fi design methodologies. Future intelligent cars, which can be on the coronary coronary heart of extreme mobility networks, are increasingly more equipped with various superior onboard sensors and keep producing big volumes of data. Machine learning, as an environment friendly technique to artificial intelligence, can current a rich set of devices to benefit from such information for the benefit of the networks. In this textual content, we first set up the distinctive traits of extreme mobility vehicular networks and encourage the utilization of machine learning to take care of the following challenges. After a brief introduction of the foremost concepts of machine learning, we speak about its functions to check the dynamics of vehicular networks and make educated selections to optimize neighborhood effectivity. In express, we speak about in increased ingredient the equipment of reinforcement learning in managing neighborhood belongings as an alternative to the prevalent optimization technique. Finally, some open factors worth extra investigation are highlighted. Towards Intelligent Vehicular Networks: A Machine Learning Framework