Online sensor transmission power schedule for remote state estimation

Yuzhe Li, Daniel E. Quevedoy, Vincent Lau, Ling Shi

Research output: Chapter in Book/Conference Proceeding/ReportConference Paper published in a bookpeer-review

23 Citations (Scopus)

Abstract

We propose an online sensor transmission power schedule for remote state estimation. A sensor sends its local state estimate to a remote estimator through an unreliable wireless channel, which introduces random data packet drops. The packet dropout rate is related to the transmission power which is allocated by the sensor under an energy constraint. The sensor chooses the transmission power based on the relative importance of the local estimate at each time. We prove that the proposed power schedule preserves the Gaussian distribution of the local estimate innovation, which enable us to obtain a closedform solution of the expected state estimation error covariance. Comparisons with alternative offline schedules are provided, which demonstrate significant performance improvement by the online schedule.

Original languageEnglish
Title of host publication2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4000-4005
Number of pages6
ISBN (Print)9781467357173
DOIs
Publication statusPublished - 2013
Event52nd IEEE Conference on Decision and Control, CDC 2013 - Florence, Italy
Duration: 10 Dec 201313 Dec 2013

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference52nd IEEE Conference on Decision and Control, CDC 2013
Country/TerritoryItaly
CityFlorence
Period10/12/1313/12/13

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