Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/31885
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dc.contributor.authorSong, J-
dc.contributor.authorWang, Z-
dc.contributor.authorGao, C-
dc.contributor.authorHe, X-
dc.coverage.spatialBirmingham, UK-
dc.date.accessioned2025-09-01T15:35:35Z-
dc.date.available2025-09-01T15:35:35Z-
dc.date.issued2023-08-30-
dc.identifierORCiD: Zidong Wang https://orcid.org/0000-0002-9576-7401-
dc.identifier.citationSong, J. et al. (2023) 'A Sensor Activation Approach to Energy-Conserving Distributed Kalman Filtering for Wireless Sensor Networks', ICAC 2023 28th International Conference on Automation and Computing, Birmingham, UK, 30 August-1 September, pp. 1 - 6. doi: 10.1109/ICAC57885.2023.10275188.en_US
dc.identifier.isbn979-8-3503-3586-6 (PoD)-
dc.identifier.isbn979-8-3503-3585-9 (ebk)-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/31885-
dc.description.abstractIn this paper, the distributed Kalman filtering problem is investigated for a class of wireless sensor networks. Apart from achieving the desired estimation performance, enhancing energy efficiency is also considered as one of the design objectives. A novel sensor activation scheme is proposed to determine when to temporarily shut down the sensors to conserve energy. The influence of the sensor activation scheme is analyzed while designing the filter gains. A greedy strategy for sensor activation is designed to guarantee that error covariances are restricted below covariance levels. Finally, the effectiveness of the proposed approach is verified through a simulation experiment.en_US
dc.description.sponsorship10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 61733009); 10.13039/501100012166-National Key Research and Development Program of China (Grant Number: 2022YFB25031103); 10.13039/501100004543-China Scholarship Council (Grant Number: 202206210302).en_US
dc.format.extent1 - 6-
dc.format.mediumPrint-Electronic-
dc.languageEnglish-
dc.language.isoen_USen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.rightsCopyright © 2023 Institute of Electrical and Electronics Engineers (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 by sending a request to pubs-permissions@ieee.org. See https://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/ for more information-
dc.rights.urihttps://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/ for more information-
dc.source28th International Conference on Automation and Computing (ICAC 2023)-
dc.source28th International Conference on Automation and Computing (ICAC 2023)-
dc.subjectdistributed Kalman filteringen_US
dc.subjectstate estimationen_US
dc.subjectrecursive estimationen_US
dc.subjectwireless sensor networken_US
dc.subjectsensor activationen_US
dc.titleA Sensor Activation Approach to Energy-Conserving Distributed Kalman Filtering for Wireless Sensor Networksen_US
dc.typeConference Paperen_US
dc.date.dateAccepted2023-06-15-
dc.identifier.doihttps://doi.org/10.1109/ICAC57885.2023.10275188-
dc.relation.isPartOfICAC 2023 28th International Conference on Automation and Computing-
pubs.finish-date2023-09-01-
pubs.finish-date2023-09-01-
pubs.publication-statusPublished-
pubs.start-date2023-08-30-
pubs.start-date2023-08-30-
dcterms.dateAccepted2023-06-15-
dc.rights.holderInstitute of Electrical and Electronics Engineers (IEEE)-
Appears in Collections:Dept of Computer Science Research Papers

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