Coordinator Rotation via Domatic Partition in Self-Organizing Sensor Networks

R. Misra, C. Mandal, R. Guha
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引用次数: 2

Abstract

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. re-clustering).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
基于Domatic划分的自组织传感器网络协调器旋转
研究了无线传感器网络簇头旋转中的能量节约问题。节点由电池供电而无需充电,因此通过最小化能耗来最大化网络的使用寿命对协议设计提出了挑战。我们认为,虽然集群解决了生命周期和可伸缩性目标,但它导致了基于ClusterHead旋转(即重新集群)的昂贵负载平衡方案。现有集群方案的负载平衡技术使用全局旋转ClusterHead角色,以防止任何单个节点完全耗尽能量。从理论上讲,作为ClusterHead的责任轮换问题被抽象为最大簇生存期问题的域划分问题。相反,这项工作提出了其设计和实现方面的分析。提出了一种基于域分区的簇头旋转方案。我们的自组织协议在实现节点本地负载平衡方面实现了节能。仿真结果表明,我们的方法在能量消耗和寿命参数方面优于重新聚类
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