Improving Strength of Receiving Signals in IOV using Propagation Models

recent Years demand of IOV has increased. The Internet of Vehicles (IoV) is an inevitable convergence of the mobile Internet and the Internet of Things. It's comprised of all new and current vehicles, either fitted or integrated with two-way RF equipment. Although the IoV is an emerging concept, some nascent forms exist today. IoV technology refers to dynamic mobile communication systems that communicate between vehicles and public networks using V2V (vehicle-to-vehicle), V2R (vehicle-to-road), V2H (vehicle-to-human) and V2S (vehicle-to-sensor) interactions. In infrastructure based vehicles can communicate through RSU (road side unit) to predict the transmission signal strength and range of signal to perform communication in IOV is very challenging task because movement of vehicles can affect the strength of signal so it is difficult to manage movement of vehicles and predict the received signals strength. In this paper an attempt has been made to propose a methodology to improve receiving signal strength by the use of propagation models.