PROJECT TITLE :

A Fast Cloud-Based Network Selection Scheme Using Coalition Formation Games in Vehicular Networks

ABSTRACT:

Leveraging multiple wireless technologies and radio access networks (RANs), vehicles on the move have the potential to get robust connectivity and continuous service. To support the demands of as many vehicles as doable, an economical and quick network choice scheme is critically necessary to attain high performance and efficiency. Thus so much, prior works have primarily focused on style of optimization algorithms and utility functions for either user or network performance. Most such studies do not address the complexities involved in the acquisition of needed information and therefore the execution of algorithms, creating them unsuitable for practical implementations in vehicles. This paper proposes a quick cloud-primarily based network selection theme for vehicular networks. By leveraging a compute cloud's abundant computing and information storage resources, vehicles can leverage wider scope network data for decision-making. Vehicles choose best access networks through a coalition formation game approach. A one-iteration fast convergence algorithm is proposed to achieve the final state of coalition structure in the sport. Through intensive simulation, the proposed network selection scheme was shown to balance system throughput and fairness with a built-in utility division rule of the framework. The algorithm potency showed eightfold enhancement over a conventional coalition formation algorithm. Such features validate the potential of implementation in apply.