V2V Communication using fog Computing for Safe Commute

Abstract

In this real-world, there is a great necessity to satisfy the demands in all the communication systems to experience the best ever convenience and flexibility. Advancement in the IoT concept in the form of IoV has been a solution to overcome all the difficulties experienced during driving vehicles. The complete potential of IoV addresses many challenges of traffic monitoring and road safety measures by forming a distributed network of vehicles and collaborate between heterogeneous vehicular systems. IoV refers to the integration of networks that transmit information periodically between vehicles to vehicles, vehicles to roadside units and it is intended to play an essential role in this. The prevailing solutions like VANET, Vehicular Cloud Computing (VFC), and Mobile Cloud Computing are not ideal as there is high latency and delay in responsiveness. The collaboration of vehicular networks and fog computing forms a promising paradigm called Vehicular Fog Computing (VFC) which serves as a effective yet alternative method for VANETS’s. This paradigm consists of multiple near-end devices to carry out communication and computation of every vehicle. This paper presents certain scenarios of moving and idle state of vehicles by adapting VFC methods, wherein as a result of this communication and computation infrastructure, it showcases the capabilities of VFC. The objective here is to present four different scenarios of a vehicle in motion and in idle state, which brings out an interesting relationship between the communication capability and connectivity of the vehicles.