Sensor Scheduling for Remote State Estimation with Limited Communication Resources: A Time- and Event-Triggered Hybrid Approach.

Yuqing Ni, Xiaochen Liu, Chao Yang

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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5 · Who and what money

Authors and funding

3 authors.

Yuqing NiThe Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China.ORCID 0000-0003-3557-391X

Xiaochen LiuDepartment of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.

Chao YangThe Key Laboratory of Smart Manufacturing in Energy Chemical Process (Ministry of Education), Department of Automation, East China University of Science and Technology, Shanghai 200237, China.

Funding

111 Project B23008Basic Research Funds of Wuxi Taihu Light Project K20221005Fundamental Research Funds for the Central Universities JUSRP122048

6 · The paper itself

Abstract

This paper proposes a time- and event-triggered hybrid scheduling for remote state estimation with limited communication resources. A smart sensor observes a physical process and decides whether to send the local state estimate to a remote estimator via a wireless communication channel; the estimator computes the state estimate of the process according to the received data packets and the known scheduling mechanism. Based on the existing optimal time-triggered scheduling, we employ a stochastic event trigger to save precious communication chances and further improve the estimation performance. The minimum mean-squared error (MMSE) state estimate is derived since the Gaussian property is preserved. The estimation performance upper bound and communication rate are analyzed. The main results are illustrated by numerical examples.

Indexed as

hybrid schedulingKalman filteringremote state estimationsensor schedulingstochastic event trigger

Identifiers

PMID37960367

DOI10.3390/s23218667

PMCPMC10647928

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