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Energy Efficient Mobility Adaptive Distributed Clustering Algorithm for Mobile Ad Hoc Network

机译:用于移动临时网络的节能移动自适应分布式聚类算法

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In this paper, we propose energy efficient mobility adaptive distributed clustering algorithm for mobile ad hoc network. Node mobility in the dynamic network has a remarkable affect on cluster stability. In order to reduce the initial cluster setup time of the dynamic network with frequently changing topology, we consider a single node parameter as the cluster head selection criteria. That is the average displacement of individual nodes in the network is computed by keeping track of its total displacement in last n time units. As the selected cluster heads form the routing backbone of the dynamic network, better stability is ensured by preferring low mobile nodes to act as cluster heads. A new energy consumption model has been proposed for the cluster heads that takes into account the network traffic, density of cluster members and the transmission power utilized to communicate the member nodes. A better cluster stability and a low maintenance overhead is aimed to achieve by electing volunteer and non-volunteer cluster heads.
机译:在本文中,我们提出了移动ad hoc网络高能效移动性的自适应分布式聚类算法。动态网络中节点的移动性对集群的稳定性显着影响。为了降低动态网络的初始群集设置时间经常变化的拓扑结构中,我们考虑一个单一的节点参数作为簇头的选择标准。这是网络中各个节点的平均位移可以通过跟踪其总排量的最后n个时间单位计算的。作为所选择的簇头形成动态网络的路由骨干,更好的稳定性是由宁愿低移动节点充当簇头确保。一种新的能耗模型已经提出了为簇头,考虑到的网络流量,集群成员的密度和用于通信的成员节点的发送功率。一个更好的集群的稳定性和低维护费用的目的是通过选举志愿者和非志愿簇头实现。

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