A Study on Various Technologies to Solve the Routing Problem in Internet of Vehicles (IoV)

Abstract

Internet of Vehicles (IoV) can be pivotal factor towards realization of Intelligent Transportation Systems. IoV principle focus is to have time decisive safety applications, optimize traffic flow, infotainment and Vehicular network with the intention to improve road safety through deployment of application allowing drivers to anticipate danger on the road. One of the important challenges of IoV is timely, reliable, and consistent propagation of messages among vehicles which enable drivers to take appropriate decisions to have improved road safety. Many proposals has been put forward by researchers to identify the traffic jam and routing the vehicular nodes in urban and highway roads for consistent, safe and secured driving environment. Even though the protocols have several limitations including lack of scalability to larger networks, routing overheads, etc. To overcome these limitations bio-inspired, big data, genetic algorithm, machine learning approaches have been proposed to identify and route packets among vehicular nodes in an optimized manner. The paper contains the survey of already proposed method and new approach to identify and route the vehicular node for the IoV environment.