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Cluster Based Topology Control in Dynamic Mobile Ad Hoc Networks

机译:动态移动自组织网络中基于群集的拓扑控制

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In Mobile Ad hoc NETworks (MANETs), mobility of nodes, resource constraints and selfish behavior of nodes are important factors which may degrade the performance. Clustering is an effective scheme to improve the performance of MANETs features such as scalability, reliability, and stability. Each cluster member (CM) is associated with only one cluster head (CH) and can communicate with the CH by single hop communication. Mobility information is used by many existing clustering schemes such as weighted clustering algorithm (WCA) Link expiration time prediction scheme and k-hop compound metric based clustering. In scheme 1) the CH election is based on a weighted sum of four different parameters such as node status, neighbor?s distribution, mobility, and remaining energy which brings flexibility but weight factor for each parameter if difficult. In scheme 2) lifetime of a wireless link between a node pair is predicted by GPS location information. In scheme 3) the predicted mobility parameter is combined with the connectivity to create a new compound metric for CH election. Despite various efforts in mobility clustering, not much work has been done specifically for high mobility nodes. Our proposed solution provides secure CH election and incentives to encourage nodes to honestly participating in election process. Mobility strategies are used to handle the various problems caused by node movements such as association losses to current CHs and CH role changes, for extending the connection lifetime and provide more stable clusters. The conducted simulation results shows that the proposed approach outperforms the existing clustering schemes.
机译:在移动自组网(MANET)中,节点的移动性,资源约束和节点的自私行为是可能降低性能的重要因素。群集是提高MANETs功能(例如可伸缩性,可靠性和稳定性)的性能的有效方案。每个集群成员(CM)仅与一个集群头(CH)相关联,并且可以通过单跳通信与CH进行通信。许多现有的聚类方案都使用移动性信息,例如加权聚类算法(WCA)链路到期时间预测方案和基于k-hop复合度量的聚类。在方案1)中,CH的选择基于四个不同参数(例如节点状态,邻居的分布,移动性和剩余能量)的加权和,这带来了灵活性,但如果困难则为每个参数分配权重。在方案2中,节点对之间的无线链路的寿命通过GPS位置信息来预测。在方案3)中,将预测的迁移率参数与连通性结合以创建用于CH选择的新的复合度量。尽管在移动性群集方面进行了各种努力,但专门针对高移动性节点的工作还很少。我们提出的解决方案提供了安全的CH选举和激励措施,以鼓励节点诚实地参与选举过程。移动性策略用于处理由节点移动引起的各种问题,例如与当前CH的关联丢失和CH角色更改,以延长连接寿命并提供更稳定的群集。进行的仿真结果表明,所提出的方法优于现有的聚类方案。

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