Energy-Efficient Data Gathering Using Sleep Scheduling and Spatial Correlation Based on Data Distribution in Wireless Sensor Networks
Energy-Efficient Data Gathering Using Sleep Scheduling and Spatial Correlation Based on Data Distribution in Wireless Sensor Networks
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DOI：
10.1109/nbis.2011.36
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发表时间：
2011-09
期刊：
影响因子：
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通讯作者：
S. Kondo;A. Kanzaki;T. Hara;S. Nishio
中科院分区：
文献类型：
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作者：
S. Kondo;A. Kanzaki;T. Hara;S. Nishio
在本文中，我们扩展了一种节能的数据收集方法，命名为ODAS/SS，以提高无线传感器网络中的监测应用的准确性。ODAS/SS采用空间插值和睡眠调度机制，以抑制能量消耗和节点之间的剩余能量的变化。在原始的ODAS/SS中，保持唤醒的节点仅基于地理位置和剩余能量来选择。另一方面，我们的扩展方法确定每个节点是否保持清醒或不根据不仅节点的位置和剩余能量，但在目标区域的数据分布。此外，我们提出了仿真实验的结果来验证扩展的方法的有效性。
In this paper, we extend an energy-efficient data gathering method, named ODAS/SS, to improve the accuracy of monitoring applications in wireless sensor networks. ODAS/SS adopts spatial interpolation and sleep scheduling mechanisms in order to suppress the energy consumption and the variation in residual energy among nodes. In the original ODAS/SS, nodes which keep awake are selected only based on geographical locations and residual energies. On the other hand, our extended method determines whether each node keeps awake or not according to not only the locations and residual energies of nodes but also data distribution in the target region. Furthermore, we present the results of simulation experiments to verify the effectiveness of the extended method.