Unifying AoI Minimization and Remote Estimation — Optimal Sensor/Controller Coordination with Random Two-way Delay

Unifying AoI Minimization and Remote Estimation — Optimal Sensor/Controller Coordination with Random Two-way Delay
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DOI:
10.1109/infocom41043.2020.9155238
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发表时间:
2020-07
期刊:
IEEE INFOCOM 2020 - IEEE Conference on Computer Communications
影响因子:
--
通讯作者:
Cho-Hsin Tsai;Chih-Chun Wang
Cho-Hsin Tsai;Chih-Chun Wang
中科院分区:
其他
文献类型:
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作者:
Cho-Hsin Tsai;Chih-Chun Wang

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在现代感应和控制应用程序中,通信网络的无处不在使用,为传感器和控制器之间的基于时机的协调增添了新的兴趣,即如何使用“等待时间”来改善系统性能。与普遍认为零等政策始终是最佳的信念相反,Sun等人。表明,控制器可以通过推迟传输来严格改善数据新鲜度,即所谓的信息年龄(AOI),以延长保持良好状态的持续时间。随后在远程估计的背景下对传感器端的最佳等待策略进行了表征。这项工作不是分别关注传感器和控制器侧,而是在Wiener-Process系统中开发了最佳的关节传感器/控制器等待策略。结果可以看作是对上述两个重要结果的严格概括,从某种意义上说,我们不仅考虑了联合传感器/控制器设计(而不是仅传感器或仅控制器的方案),而且我们还假设这两者都会随机延迟向前和反馈方向(而不是仅在一个方向上随机延迟)。除了可证明的最优性外,还使用广泛的仿真来验证各种设置中提出的方案的性能。
The ubiquitous usage of communication networks in modern sensing and control applications has kindled new interests on the timing-based coordination between sensors and controllers, i.e., how to use the "waiting time" to improve the system performance. Contrary to the common belief that a zero-wait policy is always optimal, Sun et al. showed that a controller can strictly improve the data freshness, the so-called Age-of-Information (AoI), by postponing transmission in order to lengthen the duration of staying in a good state. The optimal waiting policy for the sensor side was later characterized in the context of remote estimation. Instead of focusing on the sensor and controller sides separately, this work develops the optimal joint sensor/controller waiting policy in a Wiener-process system. The results can be viewed as strict generalization of the above two important results in the sense that not only do we consider joint sensor/controller designs (as opposed to sensor-only or controller-only schemes), but we also assume random delay in both the forward and feedback directions (as opposed to random delay in only one direction). In addition to provable optimality, extensive simulation is used to verify the performance of the proposed scheme in various settings.