Optimal wireless scheduling for remote sensing through Brownian approximation

Daojing Guo, Ping-Chun Hsieh, I. Hong Hou

研究成果: Conference contribution同行評審

3 引文 斯高帕斯(Scopus)

摘要

This paper studies a remote sensing system where multiple wireless sensors generate possibly noisy information updates of various surveillance fields and delivering these updates to a control center over a wireless network. The control center needs a sufficient number of recently generated information updates to have an accurate estimate of the current system status, which is critical for the control center to make appropriate control decisions. The goal of this work is then to design the optimal policy for scheduling the transmissions of information updates. Through Brownian approximation, we demonstrate that the control center's ability to make accurate real-time estimates depends on the averages and temporal variances of the delivery processes. We then formulate a constrained optimization problem to find the optimal means and variances. We also develop a simple online scheduling policy that employs the optimal means and variances to achieve the optimal system-wide performance. Simulation results show that our scheduling policy enjoys fast convergence speed and better performance when compared to other state-of-the-art policies.

原文English
主出版物標題INFOCOM 2021 - IEEE Conference on Computer Communications
發行者Institute of Electrical and Electronics Engineers Inc.
頁數10
ISBN(電子)9780738112817
DOIs
出版狀態Published - 10 5月 2021
事件40th IEEE Conference on Computer Communications, INFOCOM 2021 - Vancouver, 加拿大
持續時間: 10 5月 202113 5月 2021

出版系列

名字Proceedings - IEEE INFOCOM
2021-May
ISSN(列印)0743-166X

Conference

Conference40th IEEE Conference on Computer Communications, INFOCOM 2021
國家/地區加拿大
城市Vancouver
期間10/05/2113/05/21

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