摘要
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。新算法将转发节点与目标节点的距离、到达目标节点的方向、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,该算法能够较好地适用于VANETs各种场景。
Introducing currently 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 used a store-carry-forward opportunistic strategy in spare networks.Simulation results indicate that the algorithm can apply better to various VANETs scenarios.
出处
《计算机应用研究》
CSCD
北大核心
2011年第3期1084-1087,共4页
Application Research of Computers
基金
甘肃省自然科学基金资助项目(3ZS062-B25-006)
兰州市科技计划资助项目(2009-1-5)
关键词
车用自组织网络
机会路由
多属性决策
三角模糊数
车联网
VANETs
opportunistic routing
multi-attribute decision-making
triangular fuzzy number
Internet of vehicles
