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Sparse Sensor Placement for Interpolated Data Reconstruction Based on Iterative Four Subregions in Sensor Networks
Joint Authors
Huang, Mengxing
Xie, Mingshan
Bai, Yong
Hu, Zhuhua
Deng, Yanfang
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-01-17
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
Data acquisition in large areas has issues of cost and data loss.
When sensors are sparse in the physical field, it is critical to study the deployment methods to improve the accuracy of reconstructed data set and the precision of the recovery of lost data.
It is desirable to place sensors at optimal locations to achieve higher precision of recovery.
In this paper, we present a sparse sensor placement scheme for data interpolation reconstruction based on iterative four subregions using fractal theory.
The results of our experiments demonstrate that the precision of our algorithm is higher than that with random placement in dispersion degree, coverage rate, and reconstruction accuracy.
American Psychological Association (APA)
Xie, Mingshan& Huang, Mengxing& Bai, Yong& Hu, Zhuhua& Deng, Yanfang. 2019. Sparse Sensor Placement for Interpolated Data Reconstruction Based on Iterative Four Subregions in Sensor Networks. Journal of Sensors،Vol. 2019, no. 2019, pp.1-16.
https://search.emarefa.net/detail/BIM-1191507
Modern Language Association (MLA)
Xie, Mingshan…[et al.]. Sparse Sensor Placement for Interpolated Data Reconstruction Based on Iterative Four Subregions in Sensor Networks. Journal of Sensors No. 2019 (2019), pp.1-16.
https://search.emarefa.net/detail/BIM-1191507
American Medical Association (AMA)
Xie, Mingshan& Huang, Mengxing& Bai, Yong& Hu, Zhuhua& Deng, Yanfang. Sparse Sensor Placement for Interpolated Data Reconstruction Based on Iterative Four Subregions in Sensor Networks. Journal of Sensors. 2019. Vol. 2019, no. 2019, pp.1-16.
https://search.emarefa.net/detail/BIM-1191507
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1191507