The huge increase in the communication network rate has made the application fields and scenarios for vehicular ad hoc networks more abundant and diversified and proposed more requirements for the efficiency and quali...The huge increase in the communication network rate has made the application fields and scenarios for vehicular ad hoc networks more abundant and diversified and proposed more requirements for the efficiency and quality of data transmission.To improve the limited communication distance and poor communication quality of the Internet of Vehicles(IoV),an optimal intelligent routing algorithm is proposed in this paper.Combined multiweight decision algorithm with the greedy perimeter stateless routing protocol,designed and evaluated standardized function for link stability.Linear additive weighting is used to optimize link stability and distance to improve the packet delivery rate of the IoV.The blockchain system is used as the storage structure for relay data,and the smart contract incentive algorithm based on machine learning is used to encourage relay vehicles to provide more communication bandwidth for data packet transmission.The proposed scheme is simulated and analyzed under different scenarios and different parameters.The experimental results demonstrate that the proposed scheme can effectively reduce the packet loss rate and improve system performance.展开更多
在Vanet应用场景中,由于车辆高速运动导致车辆节点构成的网络拓扑不断变化,多数路由协议需要及时维护自己的邻居表来选择路由。邻居选择出错会出现数据频繁重发,导致传输时延高且不可靠等现象。为此本文提出了一种基于高速公路应用场景...在Vanet应用场景中,由于车辆高速运动导致车辆节点构成的网络拓扑不断变化,多数路由协议需要及时维护自己的邻居表来选择路由。邻居选择出错会出现数据频繁重发,导致传输时延高且不可靠等现象。为此本文提出了一种基于高速公路应用场景的高效的邻居发现方法NDK(Vanet Neighbor Discovery method By Kalman filter)。该方法利用经典的地理位置路由算法GPSR思想,借助于卡尔曼滤波(Kalman filter)预测模型来预测节点的邻居表,同时周期性的使用路侧装置(RSU,Road Side Unit)修正预测值。通过NS-3的仿真实验表明,该算法较经典的GPSR算法和其他基于时间、移动预测邻居表的算法能更好判断节点的加入和离开,并有更好的邻居正确率和更轻的网络负载。展开更多
基金supported by the National Key R&D Program of China (2020YFB2008400)LAGEO of Chinese Academy of Sciences (LAGEO-2019-2)+11 种基金Program for Science&Technology Innovation Talents in the University of Henan Province (20HASTIT022)21th Project of the Xizang Cultural Inheritance and Development Collaborative Innovation Center in 2018 (21IRTSTHN015)Natural Science Foundation of Xizang Named“Research of Key Technology of Millimeter Wave MIMO Secure Transmission with Relay Enhancement”in 2018Xizang Autonomous Region Education Science“13th Five-year Plan”Major Project for 2018 (XZJKY201803)Natural Science Foundation of Henan under Grant 202300410126Young Backbone Teachers in Henan Province (2018GGJS049)Henan Province Young Talent Lift Project (2020HYTP009)Program for Innovative Research Team in University of Henan Province (21IRTSTHNO15)Equipment Pre-research Joint Research Program of Ministry of Education (8091B032129)Training Program for Young Scholar of Henan Province for Colleges and Universities under Grand (2020GGJS172)Program for Science&Technology Innovation Talents in Universities of Henan Province under Grand (22HASTIT020)Henan Province Science Fund for Distinguished Young Scholars (222300420006).
文摘The huge increase in the communication network rate has made the application fields and scenarios for vehicular ad hoc networks more abundant and diversified and proposed more requirements for the efficiency and quality of data transmission.To improve the limited communication distance and poor communication quality of the Internet of Vehicles(IoV),an optimal intelligent routing algorithm is proposed in this paper.Combined multiweight decision algorithm with the greedy perimeter stateless routing protocol,designed and evaluated standardized function for link stability.Linear additive weighting is used to optimize link stability and distance to improve the packet delivery rate of the IoV.The blockchain system is used as the storage structure for relay data,and the smart contract incentive algorithm based on machine learning is used to encourage relay vehicles to provide more communication bandwidth for data packet transmission.The proposed scheme is simulated and analyzed under different scenarios and different parameters.The experimental results demonstrate that the proposed scheme can effectively reduce the packet loss rate and improve system performance.
文摘在Vanet应用场景中,由于车辆高速运动导致车辆节点构成的网络拓扑不断变化,多数路由协议需要及时维护自己的邻居表来选择路由。邻居选择出错会出现数据频繁重发,导致传输时延高且不可靠等现象。为此本文提出了一种基于高速公路应用场景的高效的邻居发现方法NDK(Vanet Neighbor Discovery method By Kalman filter)。该方法利用经典的地理位置路由算法GPSR思想,借助于卡尔曼滤波(Kalman filter)预测模型来预测节点的邻居表,同时周期性的使用路侧装置(RSU,Road Side Unit)修正预测值。通过NS-3的仿真实验表明,该算法较经典的GPSR算法和其他基于时间、移动预测邻居表的算法能更好判断节点的加入和离开,并有更好的邻居正确率和更轻的网络负载。
