An event-based diffusion LMS strategy
We consider an event-based communication mechanism for diffusion least mean-squares estimation in a sensor network, in which an intermediate estimate from a sensor is communicated to its neighbors only when a triggering criterion is satisfied. We provide a sufficient condition for the mean error sta...
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sg-ntu-dr.10356-1382012020-04-29T01:53:56Z An event-based diffusion LMS strategy Wang, Yuan Tay, Wee Peng Hu, Wuhua School of Electrical and Electronic Engineering 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM) Engineering::Electrical and electronic engineering Diffusion Adaptation Energy-efficiency We consider an event-based communication mechanism for diffusion least mean-squares estimation in a sensor network, in which an intermediate estimate from a sensor is communicated to its neighbors only when a triggering criterion is satisfied. We provide a sufficient condition for the mean error stability of our proposed event-based diffusion strategy, and derive an upper bound of its steady-state network mean-square deviation (MSD). Simulations demonstrate that our event-based strategy can achieve similar steady-state network MSD as the adapt-then-combine diffusion strategy but at a significantly lower communication rate. NRF (Natl Research Foundation, S’pore) Accepted version 2020-04-29T01:53:55Z 2020-04-29T01:53:55Z 2018 Conference Paper Wang, Y., Tay, W. P., & Hu, W. (2018). An event-based diffusion LMS strategy. Proceedings of the 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM), 154-158. doi:10.1109/SAM.2018.8448841 9781538647523 https://hdl.handle.net/10356/138201 10.1109/SAM.2018.8448841 2-s2.0-85053596573 154 158 en © 2018 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. The published version is available at: https://doi.org/10.1109/SAM.2018.8448841 application/pdf |
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NTU Library |
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Singapore |
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English |
| topic |
Engineering::Electrical and electronic engineering Diffusion Adaptation Energy-efficiency |
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Engineering::Electrical and electronic engineering Diffusion Adaptation Energy-efficiency Wang, Yuan Tay, Wee Peng Hu, Wuhua An event-based diffusion LMS strategy |
| description |
We consider an event-based communication mechanism for diffusion least mean-squares estimation in a sensor network, in which an intermediate estimate from a sensor is communicated to its neighbors only when a triggering criterion is satisfied. We provide a sufficient condition for the mean error stability of our proposed event-based diffusion strategy, and derive an upper bound of its steady-state network mean-square deviation (MSD). Simulations demonstrate that our event-based strategy can achieve similar steady-state network MSD as the adapt-then-combine diffusion strategy but at a significantly lower communication rate. |
| author2 |
School of Electrical and Electronic Engineering |
| author_facet |
School of Electrical and Electronic Engineering Wang, Yuan Tay, Wee Peng Hu, Wuhua |
| format |
Conference or Workshop Item |
| author |
Wang, Yuan Tay, Wee Peng Hu, Wuhua |
| author_sort |
Wang, Yuan |
| title |
An event-based diffusion LMS strategy |
| title_short |
An event-based diffusion LMS strategy |
| title_full |
An event-based diffusion LMS strategy |
| title_fullStr |
An event-based diffusion LMS strategy |
| title_full_unstemmed |
An event-based diffusion LMS strategy |
| title_sort |
event-based diffusion lms strategy |
| publishDate |
2020 |
| url |
https://hdl.handle.net/10356/138201 |
| _version_ |
1681056362601119744 |