Phase optimization for control/fusion applications in dynamically composed sensor networks
Phase optimization for control/fusion applications in dynamically composed sensor networks
复制标题
动态组合传感器网络中控制/融合应用的相位优化
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
Thomas Petig
中科院分区：
文献类型：
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作者：
Sebastian Zug;André Dietrich;Christoph Steup;Tino Brade;Thomas Petig
分布式传感器感知的可变采集保证了这些数据在不同应用中的有效利用。多个观测值能够提高系统输出的质量。然而，动态组合禁用所有离线优化方法，特别是传感器应用程序调度。本文讨论了需要定期工作的传感器和融合/控制应用的在线调整。基于一些共同的目标，例如，最小化传感器数据的方差或数据集的年龄-我们推导出不同的度量。对于一个方面，输入计数的数量，我们提出了一个数学描述，并应用相关的优化。最后以一个实例分析来说明进一步的研究目标.
The variable acquisition of distributed sensor perception promises an effective utilization of these data across different applications. Multiple observations enable an increase in the quality of the system output. However, the dynamic composition disables all off-line optimization approaches, especially for sensor-application-scheduling. This paper addresses the need for an online adjustment of periodically working sensors and fusion/control applications. Based on a number of common goals - e.g., minimization of the variance of sensor data or the age of data sets - we deduce different metrics. For one aspect, the number of input counts, we propose a mathematical description and apply related optimizations. We use an an example analysis to illustrate further research goals.