Vehicle networks have great capacity for the production and dissemination of content, however, the constant topological changes make it difficult to exchange information be- tween nodes and can invalidate the information, generating information losses, packet delays, improper disconnections, among other problems. In vehicular networks there are places where the content generated by the sensor nodes reaches a larger audience, these places which we call Anchorage Zones are used for exchanging relevant information with greater connectivity. The information disseminated in an anchor zone is known as Float- ing Content because it has local, temporal and spatial validity. We developed a study using metrics of complex networks such as, Betweenness and Degree together with flow measures, applied to data from real bases and simulation with the proposal to determine the best zones for exchanging information in a vehicular network. The results show that the methodology used is effective for characterizing anchor zones in vehicular networks, because the information extracted with the discretized time is better approximated to re- ality, eliminating edges that no longer exist between the nodes of the network, differently from the aggregate time that stores information for edges that no longer exist.

Vanet; Anchor Zone; Temporal Metrics; Temporal Centrality; Floating Content.