交通信息自感知的VANETs路由算法

针对车辆自组织网VANETs拓扑结构的高动态性、节点的高速移动,提出了基于交通信息感知的路由TARP(trafficaware routing protocol)算法。在TARP中,设计了收集实时交通信息的方案,包括节点密度、网络流量信息通过信息,评估每条路段的权值。通过权值选择路由,以维护路由的稳定性和健壮性选取,从而减少网络开销。仿真结果表明,与传统的地理位置路由协议相比,在数据传输率、网络吞吐量性能有均较大的提高。

VANETs Location Routing Algorithm Based on Traffic-aware

Due to the high dynamic of topology and high mobile of nodes in VANETs, the TARP (Traffic-Aware Routing Protocol) is proposed. In TARP, the scheme that collecting real-time traffic information is designed, including the node density, network traffic. The weight of each road is evaluated by the traffic information. The routing is established by the weight of road, and maintains stability and robustness of routing. Meanwhile, the function node is set, which is responsible for collecting traffic information. The effective mechanism to select the function node is analyzed, which reduce the overhead of network. Compared with traditional geographic routing, simulation results show that significant performance improvement has been achieved in terms of packet delivery ratio, network throughput.