自组织集群传感器网络的自修复

R. Misra, C. Mandal
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引用次数: 9

摘要

自修复方法使传感器网络配置对节点故障具有鲁棒性。使用临界传输范围阈值和节点密度阈值可以实现k连接网络的容错。提出了一种针对k连通簇传感器网络簇头故障的自修复方案。在现有的无线传感器网络(WSN)聚类方案中,簇头故障会触发重新聚类。重聚类是传感器网络中的全局操作,在约束电池供电的WSN中会产生很高的能量开销。WSN的另一种框架是基于局部方案的,称为“clusterhead-clique”,用于自我修复。簇头团是簇头在半传输半径内的最近邻,得到了一种簇头位置传输的局域化方案。基于我们的自修复方法的协议仿真在重新配置簇头方面比现有的重新集群方案节能35%
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Self-Healing for Self-Organizing Cluster Sensor Networks
Self-healing approach enables sensor network configuration robust to node failures. Fault-tolerance of k-connected network can be achieved using threshold of critical transmission range and node density. A self-healing scheme for clusterhead failure in k-connected cluster sensor network is presented in this work. Clusterhead failure triggers re-clustering in existing clustering schemes for wireless sensor networks (WSN). Re-clustering being a global operation in sensor network, incurs high energy overhead in constrained battery powered WSN. An alternative framework for WSN is based on localized scheme, called 'clusterhead-clique', taken in this work for self-healing. The clusterhead-clique is nearest neighborhood of clusterhead within half transmission radius, results a localized scheme for clusterhead position transfer. The simulation of the protocol based on our approach self-healing achieves 35% energy-efficiency in reconfiguring clusterheads over the existing re-clustering scheme
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