摘要
提出一种车联网数据分发机制。该方案利用车辆分布情况,求出各交通路段数据传输时延,并采用压缩感知方法构造交通网络各节点间的数据传输时延下界,以此辅助车辆进行数据转发决策。然后通过车辆和数据分组的路径匹配度选择下一跳转发车辆。此外,通过马尔可夫模型推导出交通路口的数据分组转发概率。仿真实验表明,与现有的数据转发方案相比,提出的方案具有较低的数据转发时延和较高的可靠性。
A reliable VANET data dissemination method was proposed. The method used the traffic information to estimate data transmission delay in each road. Compressive sensing method was used to deduce the lower bound of data transmission delay among each intersection. These information could assist carrier to choose forward routing. In the process of data forward, the vehicle that its route more similar with the forwarding data will be chosen as the next carrier. Furthermore, data forward probability at intersection was deduced based on Markov model. The simulation results demonstrate that presented method achieves lower-delay and higher reliable performance than existed packet forward protocols.
作者
彭鑫
李仁发
李哲涛
谢国琪
PENG Xin LI Ren-fa LI Zhe-tao XIE Guo-qi(Key Laboratory on Complex Systems Optimization and Controlling of Hunan High Education Institutions, College of Information and Communication Engineering, Hunan Institute of Science and Technology, Yueyang 414000, China Key Laboratory for Embedded and Network Computing of Hunan Province,Hunan University, Changsha 410082, China College of Information Engineering, Xiangtan University, Xiangtan 411105, China)
出处
《通信学报》
EI
CSCD
北大核心
2017年第4期25-34,共10页
Journal on Communications
基金
湖南省科技计划基金资助项目(No.2016TP1021)
