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出 处:《计算机工程与设计》2017年第9期2296-2301,共6页Computer Engineering and Design
基 金:吉林省长白山学者计划基金项目(2013018);国家自然科学基金项目(61171137)
摘 要:针对车载自组织网络(VANET)中节点的移动引起的传输链路不稳定的问题,提出一种基于节点运动方向预测的AODV路由选择方法。利用马尔可夫链的预测性,结合节点的运动特征,提出一种可降低节点移动对链路稳定性影响的路由选择算法,即路径最小概率最大算法。在路由建立阶段,对节点的马尔可夫性质进行验证,判断节点的类型,根据节点类型选择路由建立的策略。仿真结果表明,所提方法能够有效减少传输链路的建立次数和路由中断率,提高传输链路的稳定性。A AODV routing method based on estimate of moving direction was proposed, to solve the problem of frequent switc-hing of a transmission link in VANET. According to the nodes? movement, the prediction of the Markov was used in the pro-posed algorithm. On the basis of AODV protocol, a routing algorithm, namely the minimum path and maximum probability al-gorithm was put forward to decrease the influence of the moving nodes on the network's topology. Markov property of nodes was verified in phase of route establishing. Types of the node were judged and routing strategy was chosen according to node type. The final simulation results show that, the proposed method can reduce switching times of nodes effectively, as well as improve the stability of transmission link.
关 键 词:车载自组织网络(VANET) AODV路由协议 路径最小概率最大算法 马尔科夫链 链路稳定性
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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