VANET中基于链路存活率的QoS最大化聚类

Kalaivani Dhanasegaran, P. C. Mouli
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引用次数: 2

摘要

VANET采用聚类技术对拓扑信息进行管理和稳定。集群内的数据通信由CH (cluster Heads)完成。聚类方法所涉及的主要问题是动态网络中簇结构的不正确定义和簇结构的维护。为了克服这些问题,提出了一种基于链接和权重的聚类方法,并结合分布式调度信息表(DDIT)进行了研究。它是基于两个相同方向的车辆的相对速度,通过在VANET中形成一个具有多个节点的集群。根据车辆的链路存活率选择簇头,向簇内不同车辆提供紧急信息,并存储在DDIT表中的数据包信息用于故障预测。最后,采用高效的介质访问控制协议提供优先级消息,避免了集群中紧急消息频谱短缺的问题。通过与现有方法的对比分析,证明了该方法具有传输延迟最小、路由控制开销最小的优点。
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Link survivability rate-based clustering for QoS maximisation in VANET
A clustering technique is used in VANET to manage and stabilise topology information. Data communication in the cluster is performed by Cluster Heads (CH). The major issues involved in the clustering approaches are improper definition of cluster structure and maintenance of cluster structure in dynamic networks. To overcome these issues a link and weight-based clustering approach is developed along with Distributed Dispatching Information Table (DDIT). It is based on relative velocity of two same directional vehicles by forming a cluster with a number of nodes in VANET. The cluster head is selected based on link survival rate of the vehicles to provide the emergency message towards different vehicles in the cluster along with stored data packet information in DDIT table for fault prediction. Finally, an efficient medium access control protocol is used to provide prioritised message for avoiding spectrum shortage of emergency messages in the cluster. Comparative analysis between the proposed method and existing methods proves the effectiveness of our method with minimum transmission delay and reduced routing control overhead.
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