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A Cooperative Dynamic Cluster in Multitasking Mobile Networks

机译:多任务移动网络中的协作动态集群

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Cluster as a classical paradigm has been often used in a multitasking mobile network and evolved into a dynamic cluster, which is motivated by the tasks with dynamic scale and nodal locations. An important question is how to synthesize the power of multiply members in a dynamic cluster and enhance the overall performance of the network. The almost universal setting is that most clusters are based on the fully connected network and the same level of tasks. To solve these questions, it should evaluate and develop the cooperation between nodes in a dynamic cluster and further propose a corresponding cooperation model. In this paper, the theoretical analysis and the basic models of cluster and dynamic cluster are introduced at first. Then an improved cooperation model of a dynamic cluster is proposed in multitasking mobile networks, which is named, cooperative dynamic cluster. As the main elements of the proposed model, the network connectivity and task priorities are also considered and discussed. Finally, a cooperative message forwarding mechanism is established to settle the cluster, the scales of which should be bounded at a reasonable level in view of a time cost. Simulation results demonstrate the efficiency of our proposed cooperative model was higher than the general dynamic cluster and normal method without cluster, respectively about 14% and 66% higher.
机译:作为经典范式的群集通常已在多任务移动网络中使用,并演变为动态群集,该群集是由具有动态规模和节点位置的任务所激发的。一个重要的问题是如何综合动态集群中乘法成员的能力并增强网络的整体性能。几乎通用的设置是,大多数群集都基于完全连接的网络和相同级别的任务。为了解决这些问题,它应该评估和发展动态集群中节点之间的协作,并进一步提出相应的协作模型。本文首先介绍了聚类和动态聚类的理论分析和基本模型。在多任务移动网络中,提出了一种改进的动态集群协作模型,称为协作动态集群。作为建议模型的主要元素,网络连接性和任务优先级也得到了考虑和讨论。最后,建立协作消息转发机制以解决集群问题,考虑到时间成本,集群的规模应限制在合理的水平上。仿真结果表明,我们提出的合作模型的效率分别比一般的动态聚类和不带聚类的普通方法高14%和66%。

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