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A multi-lane network optimization scheme based on connectivity probability perception in vehicular network

In order to improve the resource utilization of wireless environment in vehicle networks, this paper focuses on connectivity probability of various road segments and proposed a multi-lane connectivity probability analysis model based on vehicle speed under free flow state with the consideration of vehicle communication environment. In the scheme, in order to improve the efficiency of data delivery, the neighbor information based multi-hop broadcasting is proceeded to quickly transmit packets from the selected segments to another one. Moreover, the best road segment with high connectivity probability is selected to forward packets. NS2 simulation results showed that the proposed resource optimization algorithm can improve the efficiency of forwarding packets.