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DC Field | Value | Language |
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dc.contributor.author | Song, J | - |
dc.contributor.author | Wang, Z | - |
dc.contributor.author | Gao, C | - |
dc.contributor.author | He, X | - |
dc.coverage.spatial | Birmingham, UK | - |
dc.date.accessioned | 2025-09-01T15:35:35Z | - |
dc.date.available | 2025-09-01T15:35:35Z | - |
dc.date.issued | 2023-08-30 | - |
dc.identifier | ORCiD: Zidong Wang https://orcid.org/0000-0002-9576-7401 | - |
dc.identifier.citation | Song, 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.isbn | 979-8-3503-3586-6 (PoD) | - |
dc.identifier.isbn | 979-8-3503-3585-9 (ebk) | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/31885 | - |
dc.description.abstract | In 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.sponsorship | 10.13039/501100001809-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.extent | 1 - 6 | - |
dc.format.medium | Print-Electronic | - |
dc.language | English | - |
dc.language.iso | en_US | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
dc.rights | Copyright © 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.uri | https://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/ for more information | - |
dc.source | 28th International Conference on Automation and Computing (ICAC 2023) | - |
dc.source | 28th International Conference on Automation and Computing (ICAC 2023) | - |
dc.subject | distributed Kalman filtering | en_US |
dc.subject | state estimation | en_US |
dc.subject | recursive estimation | en_US |
dc.subject | wireless sensor network | en_US |
dc.subject | sensor activation | en_US |
dc.title | A Sensor Activation Approach to Energy-Conserving Distributed Kalman Filtering for Wireless Sensor Networks | en_US |
dc.type | Conference Paper | en_US |
dc.date.dateAccepted | 2023-06-15 | - |
dc.identifier.doi | https://doi.org/10.1109/ICAC57885.2023.10275188 | - |
dc.relation.isPartOf | ICAC 2023 28th International Conference on Automation and Computing | - |
pubs.finish-date | 2023-09-01 | - |
pubs.finish-date | 2023-09-01 | - |
pubs.publication-status | Published | - |
pubs.start-date | 2023-08-30 | - |
pubs.start-date | 2023-08-30 | - |
dcterms.dateAccepted | 2023-06-15 | - |
dc.rights.holder | Institute of Electrical and Electronics Engineers (IEEE) | - |
Appears in Collections: | Dept of Computer Science Research Papers |
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FullText.pdf | Copyright © 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 | 729.73 kB | Adobe PDF | View/Open |
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