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ClusterHead Rotation via Domatic Partition in Self-Organizing Sensor Networks

机译:通过在自组织传感器网络中通过统治分区的群集旋转

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We investigate the problem of energy conservation in ClusterHead rotation in wireless sensor networks. Nodes are battery powered without being replenished, thus maximizing lifetime of network by minimizing energy consumption poses challenge in design of protocols. We argue, though clustering addresses lifetime and scalability goals, it results to an expensive load-balancing scheme based on ClusterHead rotation(i.e. reclustering).The load balancing technique of existing clustering schemes uses global rotation of ClusterHead roles in order to prevent any single node from complete energy exhaustion. Theoretically, the problem of rotating the responsibility of being a ClusterHead has been abstracted as domatic partitioning problem for maximum cluster-lifetime problem. Instead, this work presents an analysis of its design and implementation aspects. We propose a domatic partitioning based scheme for ClusterHead rotation in clustering protocol. Our self-organizing protocol achieves energy-conservation in achieving local load balancing of nodes. The simulation results demonstrate that our approach outperforms re-clustering in terms of energy consumption, and lifetime parameters.
机译:我们调查无线传感器网络中集群旋转节能的问题。节点是电池供电而不被补充,从而通过最小化能量消耗在协议设计中提出挑战来最大化网络的寿命。虽然聚类解决了终身和可扩展性目标,但它争辩说,它会导致基于簇头旋转的昂贵的负载平衡方案(即,即斜面)。现有群集方案的负载平衡技术使用群集黑头角色的全局旋转,以防止任何单个节点从完全的能量耗尽中。从理论上讲,旋转作为群集的责任的问题已被抽象为最大群集终身问题的统治性分区问题。相反,这项工作提出了对其设计和实现方面的分析。我们提出了一种基于群集协议中的簇头旋转的基于群集分区方案。我们的自组织协议实现了实现节点局部负载平衡的节能。仿真结果表明,我们的方法在能耗和寿命参数方面优于重新聚类。

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