A Sensor Data Collection Method Based on the Constraint of Collected Number of Data and Granularity of Characteristics on an Overlay Network
A Sensor Data Collection Method Based on the Constraint of Collected Number of Data and Granularity of Characteristics on an Overlay Network
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一种基于覆盖网络采集数据数量和特征粒度约束的传感器数据采集方法
DOI：
10.1109/saint.2012.22
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Jun Shinomiya
中科院分区：
文献类型：
--
作者：
Tingting Dong;Chuan Xiao;Xi Guo;Yoshiharu Ishikawa;Jun Shinomiya
在本文中，我们提出了一种新的传感器数据收集方法上的覆盖网络，转发消息的节点，是适合于重建的传感器数据分布。当存在大量传感器时，从目标区域收集所有传感器数据是多余的，因为地理上接近的传感器数据可以被内插。一些方法通过使用在覆盖网络上收集的传感器数据来处理重建轮廓线地图。然而，在准确性和收集的传感器数据的数量之间存在权衡。我们的方法是处理的特征点的粒度在重建的等高线图，以满足不同的用户的不同要求。我们的建议方法扩展了分层Delaunay覆盖网络（HDOV），并收集了有限数量的传感器数据。根据对应于HDOV的每一层的特性的特征量来转发收集请求。我们的模拟结果表明，我们的建议可以重建等高线地图，同时满足所要求的粒度内收集的传感器数据的数量的特征点。
In this paper, we propose a novel sensor data collection method on an overlay network that forwards messages to the nodes that are suitable for reconstructing a sensor data distribution. When there is an enormous number of sensors, it is redundant to collect all sensor data from a target area since geographically close sensor data can be interpolated. Some methods treat reconstructing a contour lines map by using sensor data collected on overlay networks. However, there is a trade-off between the accuracy and the number of collected sensor data. Our approach is to treat the granularity of the characteristic points in the reconstructed contour lines map in order to satisfy the various requirements of different users. Our proposal method extends the hierarchical Delaunay overlay network (HDOV) and collects a limited number of sensor data. The collection request is forwarded according to the feature amount that corresponds to the characteristics for each layer of the HDOV. Our simulation results showed that our proposal could reconstruct contour lines maps while satisfying the requested granularity of the characteristic points within the number of collected sensor data.