Efficient Message Dissemination in V2V Network: A Local Centrality-based Approach

Abstract

Many vehicular applications require data dissemination where all the vehicles in a specific region of concern are the intended receivers of particular messages. Such dissemination is challenging due to vehicular networks' distinct properties, such as high mobility, low communication range, intermittent connectivity, and diverse variations in their topology. In this work, we propose a Local Centrality-based Dissemination scheme for vehicular networks based on V2V communication. To this end, each vehicle node gathers their two-hop neighborhood information to identify the super-spreader nodes that continue the dissemination by rebroadcasting the receiving messages. In contrast, the rest of the nodes remain quiet. We validate the performance of our proposed scheme with real vehicular data. Extensive simulation results reveal the superior performance of our proposed scheme in terms of higher and quicker coverage with fewer redundant transmissions than the state-of-the-art data dissemination protocols.