Vehicular sensor network (VSN) is a promisingtechnology which could be widely applied to monitor the physicalworld in urban areas. In such a scenario, the efficient data deliveryplays a central role. Existing schemes, however, cannot choosean optimal route, since they either ignore the impact of vehiculardistribution on connectivity, or make some unreasonableassumptions on vehicular distribution. In this paper, we proposea traffic-aware data delivery scheme (TADS). The basic idea ofTADS is to choose intersections to forward packets dynamicallyas the route from a source to destination based on link quality andremaining Euclidean distance to destination. Specifically, we firstpresent an optimal utility function as the criteria of intersectionselection. Besides the packet forwarding through intersections,we also propose an improved geographically greedy routingalgorithm for packet forwarding in straightway mode. Moreover,in order to decrease the routing overhead brought by the trafficinformation gathering, we build a traffic condition predictionmodel to estimate the link quality. The simulation results showthat our TADS outperforms existing works on packet deliveryratio, end-to-end delay, and routing overhead.
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