一种基于三角模糊数的VANETs机会路由算法*

分析了现有车用自组织网络（VANETs）的路由算法，提出一种新的基于三角模糊数的机会路由算法。新算法将转发结点距离目标结点的距离、到达目标结点的方向、行驶速度向量、重传次数、车流状况等因素作为目标函数进行分析计算，采用熵权系数法确定各因素权重。路由过程中，贪婪选择向量值最大的节点转发数据包；遇到网络不连续时，将采用“存储－携带－转发”的机会路由策略。仿真结果表明，该算法能够较好的适用于VANETs各种场景。

VANETs opportunistic routing algorithm based on triangular fuzzy number

Introducing currently vehicular ad hoc networks (VANETs) routing algorithms, the paper proposed a novel opportunistic routing algorithm based on triangular fuzzy number. The algorithm analyzed and calculated these factors as objective functions, including the distance between the forwarding and the destination, the direction to the destination, the forwarding velocity vector, retransmission numbers and traffic flow conditions. It adopted an entropy weight coefficient method to determine each factor weight. In routing process, the node would select greedily the highest vector-valued node to propagate packets, and use a store-carry-forward opportunistic strategy in spare networks. Simulation results indicate that the algorithm can apply better to various VANETs scenarios.