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Transmission scheduling for remote state estimation with energy harvesting sensors
Department of Electical Engineering, Paderborn University, Tyskland.
Institute for Telecommunications Research, University of South Australia, Adelaide, Australia.ORCID iD: 0000-0003-0762-5743
Department of Electrical Engineering, Paderborn University, Tyskland.
2017 (English)In: Automatica, ISSN 0005-1098, E-ISSN 1873-2836, Vol. 91, no May, p. 54-60Article in journal (Refereed) Published
Abstract [en]

This paper studies a remote state estimation problem where a sensor, equipped with energy harvesting capabilities, observes a dynamical process and transmits local state estimates over a packet dropping channel to a remote estimator. The objective is to decide, at every discrete time instant, whether the sensor should transmit or not, in order to minimize the expected estimation error covariance at the remote estimator over a finite horizon, subject to constraints on the sensor’s battery energy governed by an energy harvesting process. We establish structural results on the optimal scheduling which show that, for a given battery energy level and a given harvested energy, the optimal policy is a threshold policy on the error covariance. Similarly, for a given error covariance and a given harvested energy, the optimal policy is a threshold policy on the current battery level. An extension to the problem of transmission scheduling and control with an energy harvesting sensor is also considered.

Place, publisher, year, edition, pages
2017. Vol. 91, no May, p. 54-60
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:uu:diva-365045DOI: 10.1016/j.automatica.2018.01.027ISI: 000430756000007OAI: oai:DiVA.org:uu-365045DiVA, id: diva2:1261658
Available from: 2018-11-08 Created: 2018-11-08 Last updated: 2019-03-21Bibliographically approved

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Dey, Subhrakanti

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