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http://bura.brunel.ac.uk/handle/2438/31885| Title: | A Sensor Activation Approach to Energy-Conserving Distributed Kalman Filtering for Wireless Sensor Networks |
| Authors: | Song, J Wang, Z Gao, C He, X |
| Keywords: | distributed Kalman filtering;state estimation;recursive estimation;wireless sensor network;sensor activation |
| Issue Date: | 30-Aug-2023 |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
| 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. |
| 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. |
| URI: | https://bura.brunel.ac.uk/handle/2438/31885 |
| DOI: | https://doi.org/10.1109/ICAC57885.2023.10275188 |
| ISBN: | 979-8-3503-3586-6 (PoD) 979-8-3503-3585-9 (ebk) |
| Other Identifiers: | ORCiD: Zidong Wang https://orcid.org/0000-0002-9576-7401 |
| Appears in Collections: | Dept of Computer Science Research Papers |
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|---|---|---|---|---|
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