摘要
为了实现车载自组织网络中远距离场景下高效稳定通信,提出了一种基于街道的自适应路由协议。首先,根据街道的连通性和时延提出了街道评价方法,并以此为依据提出了基于蚁群优化算法的路径搜索算法,用来寻找到达目的地所在路口的节点序列。其次,根据HELLO消息的接收比对相邻节点的通信质量进行评价,提出了基于细胞吸引子选择模型的下一跳决策机制。最终,数据包沿着路径搜索算法找到的路线进行转发,并依据下一跳决策机制选择邻居节点集中权值最高的节点作为下一跳。仿真结果表明,相较于其他4种路由协议,所提出的协议在不同车辆密度和CBR连接数目下,均保持着较为优异的数据包投递率和平均端到端时延。
In order to achieve efficient and stable communication in the long-distance scene of the vehicular ad-hoc network,a street-based adaptive routing protocol was proposed.First,a street evaluation method was proposed based on the connectivity and delay of the street,and based on the evaluation method,a path search algorithm based on Ant Colony Optimization(ACO)algorithm was proposed to find the intersection node sequence to the destination.Then,according to the reception ratio of HELLO messages,the communication quality of neighboring nodes is evaluated,and the next hop selection mechanism based on Cell Attractor Selecting Model(CASM)is proposed.Finally,the packet will be forwarded along the route found by the path search algorithm,and the node with the highest weight among the neighbor nodes will be selected as the next hop according to the next hop decision mechanism.The simulation results show that compared with the other five routing protocols,the proposed protocol maintains excellent packet delivery ratio and average end-to-end delay under different vehicle densities and CBR connection numbers.
作者
胡本旭
陈飞
HU Ben-xu;CHEN Fei(College of Computer Science and Technology, Qingdao University, Qingdao 266071, China)
出处
《青岛大学学报（自然科学版）》
CAS
2020年第4期55-62,共8页
Journal of Qingdao University(Natural Science Edition)
基金
国家自然科学基金(批准号:61602214)资助。
