An approach for efficient vehicular tracking in internet of vehicles

The Internet of Vehicles (IoV) is a use case of the Internet of Things (IoT), where the urban vehicle fleet forms a worldwide network. Quality of Service (QoS) optimization in IoV is a challenging task, since vehicles are in continuous movement, which causes the network to be unstable and in continuous topology change, this creates a hostile environment with many variables that should be taken in consideration. Location based routing protocols have proven to be the most performing in such an environment, they offer high packet delivery with low delay, but they also encounter some issues such as routing loops and bandwidth overload. In the present paper, we study existing solutions and propose a novel optimal location based routing algorithm named Minimum Hops Routing (MHR). For experimental study, we compared the proposed MHR algorithm with existing solutions from the state of the art. The experimental results show that the proposed MHR solution is more efficient than existing solutions in terms of reliability enhancement and delay.