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Mobility-Sensitive Clustering Algorithm to Balance Power Consumption for Mobile Ad Hoc Networks

机译:用于移动Ad Hoc网络的功耗平衡的移动性敏感聚类算法

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Energy efficiency is very important in mobile ad hoc networks (MANETs). Most clustering algorithms save energy by limiting the maximum size of the cluster, by reducing control overhead for maintaining clusters, or by reducing power consumption of intra-cluster communication. These algorithms usually update the intra-cluster routing information and maintain clusters by periodically sending out beacons. This paper proposes to save energy not only by reducing the unnecessary flooding used to update the intra-cluster routing information, but also by balancing power consumption among nodes and clusters throughout the network. We first propose a method to assess the mobility rate of the nodes by sensing the difference in node ID records in a CH between two successive beacons. The beacons will then be adaptively sent out to update the intra-cluster routing information according to these assessed mobility rates, so that the unnecessary flooding is significantly reduced, thereby, resulting in higher energy efficiency. Furthermore, the cluster sizes are adaptively maintained between the maximum and the minimum sizes according to the mobility rates to better balance power consumption among the clusters. Preliminary simulation results show that the proposed algorithm indeed sends out beacon messages adaptively and balances power consumption among clusters.
机译:能源效率在移动自组织网络(MANET)中非常重要。大多数群集算法通过限制群集的最大大小,减少用于维护群集的控制开销或减少群集内通信的功耗来节省能源。这些算法通常通过定期发送信标来更新集群内路由信息并维护集群。本文提出不仅可以减少用于更新集群内路由信息的不必要的泛洪,而且可以通过平衡整个网络中节点和集群之间的功耗来节省能源。我们首先提出一种方法,通过感知两个连续信标之间CH中节点ID记录的差异来评估节点的移动速率。然后,根据这些评估的移动率,将信标自适应地发送出去以更新集群内路由信息,从而显着减少了不必要的洪泛,从而提高了能源效率。此外,根据移动率将集群大小自适应地保持在最大和最小大小之间,以更好地平衡集群之间的功耗。初步的仿真结果表明,该算法确实能够自适应地发出信标消息,并在集群之间实现了功耗均衡。

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