Vehicular sensor network (VSN) is a promising technology which could be widely applied to monitor the physical world in urban\r\nareas. In such a scenario, the efficient data delivery plays a central role. Existing schemes, however, cannot choose an optimal route,\r\nsince they either ignore the impact of vehicular distribution on connectivity, or make some unreasonable assumptions on vehicular\r\ndistribution. In this paper, we propose a traffic-aware data delivery scheme (TADS). ?e basic idea of TADS is to choose intersections\r\nto forward packets dynamically as the route from a source to destination based on link quality and remaining Euclidean distance\r\nto destination. Speci??cally, we ??rst present an optimal utility function as the criteria of intersection selection. Besides the packet\r\nforwarding through intersections, we also propose an improved geographically greedy routing algorithm for packet forwarding in\r\nstraightway mode. Moreover, in order to decrease the routing overhead brought by the traffic information gathering, we build a\r\ntraffic condition prediction model to estimate the link quality. ?e simulation results show that our TADS outperforms existing\r\nworks on packet delivery ratio, end-to-end delay, and routing overhead.
Loading....