基于机会权重的环境自适应动态车联网路由

Environment self-adaptive dynamic vehicular network routing based on opportunity-weight

为满足车联网的数据转发质量,保证通信连接的可靠性非常重要。基于对车联网动态拓扑、车辆行驶行为变化、车辆密度变化、高速移动等交通环境复杂性问题的分析,提出基于机会权重的环境自适应动态路由(SaDAGR)。SaDAGR引入了车辆行驶行为预测模型,设计了动态信标周期自适应调节机制,并在转发策略中设计机会权重转发机制,引入车辆目的方向预测及车前密度感知,所提路由能够适应复杂交通环境下大动态范围的车辆速度、车辆密度的交通变化。仿真结果表明,SaDAGR增强了网络的连通性,降低了重传,减少了时延,提高了数据转发效率。

In order to meet the quality of the vehicular network data forwarding,it is very important to ensure the reliability of the communication connection.On the basis of the analysis of the traffic environment complexity such as the dynamic topology of vehicular network,vehicle behavior change,vehicle density change and high-speed movement of vehicles,the SaDAGR(scenario-adaptive dynamic awareness greedy routing)based on opportunity weight is proposed.The vehicle behavior prediction model is introduced by SaDAGR routing to design the dynamic-beacon-period adaptive adjustment mechanism.The opportunityweighted forwarding mechanism is designed in the forwarding strategy,in which the vehicle destination direction prediction and the vehicle forward density sensing are introduced.The SaDAGR can adapt to vehicle speed in large dynamic range,vehicle density and traffic changes in the complex traffic environment.The simulation results show that the SaDAGR can enhance network connectivity,reduce retransmission time delay,and improve data forwarding efficiency.