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dc.contributor.authorHåkansson, Victor Wattin
dc.contributor.authorDasanadoddi Venkategowda, Naveen Kumar
dc.contributor.authorWerner, Stefan
dc.contributor.authorVarshney, Pramod K.
dc.date.accessioned2022-12-29T15:50:25Z
dc.date.available2022-12-29T15:50:25Z
dc.date.created2022-07-06T11:48:30Z
dc.date.issued2022
dc.identifier.issn1530-437X
dc.identifier.urihttps://hdl.handle.net/11250/3039960
dc.description.abstractThis paper proposes an optimal scheduling policy for broadcasting spatio-temporally dependent observations to two remote estimators over a finite time horizon. The system comprises a scheduler that can broadcast one observation from one out of two spatio-temporally dependent processes at each time instant. Since the number of broadcasting instants for each sensor is constrained, the scheduler must plan the broadcasting that minimizes the time-averaged estimation error. As the scheduler cannot observe the measurements, it determines the expected estimation error based on the age-of information (AoI). Using AoI as a state variable, we derive a set of optimal scheduling policies that minimizes the average mean squared error (MSE) for any given time horizon. The policies provide the optimal number of transmission instances for each sensor and time-varying AoI thresholds for when to be scheduled. By studying how the MSE evolves with respect to the AoI generated by a given scheduling sequence, we can obtain an optimal policy using a low-complexity numerical method. Numerical results validate the theory and demonstrate how utilizing spatio-temporal dependencies together with AoI can enhance the estimation accuracy in a communication-constrained sensor network.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.titleOptimal transmission-constrained scheduling of spatio-temporally dependent observations using age-of-informationen_US
dc.title.alternativeOptimal transmission-constrained scheduling of spatio-temporally dependent observations using age-of-informationen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.rights.holder© IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.source.journalIEEE Sensors Journalen_US
dc.identifier.doi10.1109/JSEN.2022.3186755
dc.identifier.cristin2037355
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


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