Abstract
This paper is concerned with remote state estimation problem with bandwidth and energy constrained wireless sensor networks(WSNs). To improve the estimation quality under these constrains in addressed system, measurement quantization and event-triggered communication strategies are adopted in WSN. Specifically, quantization strategy and event-triggering mechanism are introduced to describe the set region of original measurements, and a closest ellipsoid approximation of measurement sets method is presented. Subsequently, set-valued Kalman filter based on quantization and event is designed by utilizing the quantizer and trigger information. Finally, an illustrative example is employed to demonstrate the advantages and effectiveness of the proposed methods.
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Acknowledgments
This work was supported by the NSFC under Grant U1709213, 61673351, 61503147, 61403229, the National Nature Science Foundation of Jiangsu Province under Grant BK20171264, and the Zhejiang Provincial Natural Science Foundation of China under Grant LZ15F030003.
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This article is part of the Topical Collection: Special Issue on Network Coverage
Guest Editors: Shibo He, Dong-Hoon Shin, and Yuanchao Shu
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Xu, D., Qin, Y., Zhang, H. et al. Set-valued Kalman filtering: Event triggered communication with quantized measurements. Peer-to-Peer Netw. Appl. 12, 677–688 (2019). https://doi.org/10.1007/s12083-018-0657-x
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DOI: https://doi.org/10.1007/s12083-018-0657-x