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Event-Based Sensor Data Scheduling: Trade-Off Between Communication Rate and Estimation Quality
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0001-9940-5929
2013 (English)In: IEEE Transactions on Automatic Control, ISSN 0018-9286, E-ISSN 1558-2523, Vol. 58, no 4, 1041-1046 p.Article in journal (Refereed) Published
Abstract [en]

We consider sensor data scheduling for remote state estimation. Due to constrained communication energy and bandwidth, a sensor needs to decide whether it should send the measurement to a remote estimator for further processing. We propose an event-based sensor data scheduler for linear systems and derive the corresponding minimum squared error estimator. By selecting an appropriate eventtriggering threshold, we illustrate how to achieve a desired balance between the sensor-to-estimator communication rate and the estimation quality. Simulation examples are provided to demonstrate the theory.

Place, publisher, year, edition, pages
IEEE Press, 2013. Vol. 58, no 4, 1041-1046 p.
Keyword [en]
Kalman filter, estimation performance, event-based scheduling, sensor scheduling
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:kth:diva-111423DOI: 10.1109/TAC.2012.2215253ISI: 000316807300022ScopusID: 2-s2.0-84874870403OAI: diva2:586202
Knut and Alice Wallenberg FoundationSwedish Research Council

QC 20130318

Available from: 2013-03-18 Created: 2013-01-11 Last updated: 2013-05-14Bibliographically approved

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