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Efficient clusterhead rotation via domatic partition in self-organizing sensor networks

机译:自组织传感器网络中通过穹顶分区实现的高效簇头旋转

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摘要

Nodes in wireless sensor networks (WSN) are deployed in an unattended environment with non re-chargeable batteries. Thus, energy efficiency becomes a major design goals in WSNs. Clustering becomes an effective technique for optimization energy in various applications like data gathering. Although aggregation aware clustering addresses lifetime and scalability goals, but suffers from excessive energy overhead at cluster head nodes. Load balancing in existing clustering schemes often use rotation of cluster head roles among all nodes in order to prevent any single node from complete energy exhaustion. We considered important aspects of energy and time overhead in rotation of the cluster head roles in various node clustering algorithms with goals to further prolong the network lifetime by minimizing the energy overheads in rotation setup. The problem of cluster head rotation is abstracted as the graph theoretic problem of domatic partitioning, which is also NP-complete. The dense deployment and unattended nature rules out the possibility of manual or external control in existing domatic partition (DP) techniques to be used for WSNs. To our knowledge, no self-organizing technique exists for domatic partitioning. We developed a distributed self-organizing one-domatic partitioning scheme with approximation factor of at least 1/16 for unit-disk-graphs (UDGs). In this work, we demonstrate that the benefits of self-organization is achieved without sacrificing the quality of domatic partitioning. We demonstrated through simulations that our self-organizing DP without sacrificing on the size of DP achieves self-organization capability which is able to reduce time and energy overheads of cluster head rotation resulting to an improved network lifetime compared to the existing clustering protocols for sensor networks.
机译:无线传感器网络(WSN)中的节点部署在无人值守的环境中,且电池不可充电。因此,能源效率成为WSN中的主要设计目标。聚类成为一种有效的技术,可以优化数据收集等各种应用程序中的能量。尽管支持聚合的群集解决了生命周期和可伸缩性的目标,但是在群集头节点上存在过多的能源开销。现有群集方案中的负载平衡通常在所有节点之间使用群集头角色的轮换,以防止任何单个节点完全耗尽能量。我们考虑了各种节点群集算法中群集头角色旋转中能量和时间开销的重要方面,目标是通过最小化旋转设置中的能量开销来进一步延长网络寿命。簇头旋转问题被抽象为半球形分区的图论问题,该问题也是NP完全的。密集的部署和无人值守的特性排除了现有的用于WSN的圆顶分区(DP)技术中进行手动或外部控制的可能性。据我们所知,不存在用于自组织分区的自组织技术。我们针对单元磁盘图形(UDG)开发了一种分布式自组织单穹顶分区方案,其近似因子至少为1/16。在这项工作中,我们证明了在不牺牲穹顶分区质量的情况下实现了自组织的好处。我们通过仿真证明,在不牺牲DP尺寸的情况下,我们的自组织DP实现了自组织功能,与现有的传感器网络群集协议相比,该功能能够减少簇头旋转的时间和能源开销,从而延长网络寿命。

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