路口设施中继辅助车载自组织网络感染路由算法

发布时间：2018-05-19 08:03

本文选题：车载自组织网络 + 中继辅助　；参考：《电子技术应用》2017年11期

【摘要】：随着智能交通系统和智慧城市的发展,路旁设施的部署将越来越普遍,城市环境下的车载自组织网络路由算法可以利用路旁设施中继辅助以提高算法的性能。为了解决感染路由算法在高负载场景下由于产生过多的消息副本而引起的路由性能剧烈下降问题,设计了路口设施辅助车载自组织网络感染路由算法IRAER。算法根据道路特点,将车辆的邻居节点划分为不同的区域,且在每个区域中仅选择一个候感节点进行感染,以降低消息副本数量,提高路由性能。另外,建立了随机模型与感染路由算法产生的副本数量进行了对比分析。理论分析和仿真实验结果均表明,所提出路由算法大大降低了在高节点密度场景下的副本数量和投递时延,提高了投递成功率。
[Abstract]:With the development of intelligent transportation system and intelligent city, the deployment of roadside facilities will be more and more common. The routing algorithm of vehicle-borne ad hoc network in urban environment can improve the performance of the algorithm by using roadside facilities relay assistance. In order to solve the problem that the routing performance of the infected routing algorithm in high load scenarios is greatly reduced due to too many message replicas, a new route algorithm IRAER-assisted by intersection facilities for vehicle-borne ad hoc network infection routing is designed. In order to reduce the number of message replicas and improve the routing performance the neighbor nodes of the vehicle are divided into different regions according to the road characteristics and only one peer node is selected for infection in each region. In addition, the random model and the number of replicas generated by the infection routing algorithm are compared and analyzed. Theoretical analysis and simulation results show that the proposed routing algorithm greatly reduces the number of replicas and delivery delays in high node density scenarios and improves the delivery success rate.
【作者单位】：西南科技大学计算机科学与技术学院;
【基金】：国家自然科学基金面上项目(61471306) 西南科技大学博士基金项目(16zx7106)
【分类号】：TN929.5;U495

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