A wireless sensor network for the metallurgical gas monitoring

Yang Li; Wei Huangfu; Xiaodong Peng; Yi Xing; Xu Xu; Zhongshan Zhang; Keping Long

doi:10.1109/ISCC.2014.6912509

A wireless sensor network for the metallurgical gas monitoring

Yang Li, Wei Huangfu^*, Xiaodong Peng, Yi Xing, Xu Xu, Zhongshan Zhang, Keping Long

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

The design of a wireless sensor network is introduced for the metallurgical gas monitoring, in which the sensor node support a slot-based configurable gas sensor array both for metallurgical-specific and general purposes at the factory or far regions. The key technologies to compress the multisensor vector data is discussed with an amendatory LBG vector quantization and Huffman coding algorithms. Both the proposed network design and data compression schemes are verified with the hardware prototype and practical data. To the best of our knowledge, it is a novel exploration and practice for the applications of wireless sensor networks in the metallurgical industries, especially for the metallurgical gas monitoring.

Original language	English
Title of host publication	Proceedings - IEEE Symposium on Computers and Communications
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479942787
DOIs	https://doi.org/10.1109/ISCC.2014.6912509
Publication status	Published - 26 Sept 2014
Externally published	Yes
Event	19th IEEE Symposium on Computers and Communications, ISCC 2014 - Funchal, Portugal Duration: 23 Jun 2014 → 26 Jun 2014

Publication series

Name	Proceedings - IEEE Symposium on Computers and Communications
ISSN (Print)	1530-1346

Conference

Conference	19th IEEE Symposium on Computers and Communications, ISCC 2014
Country/Territory	Portugal
City	Funchal
Period	23/06/14 → 26/06/14

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10.1109/ISCC.2014.6912509

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Li, Y., Huangfu, W., Peng, X., Xing, Y., Xu, X., Zhang, Z., & Long, K. (2014). A wireless sensor network for the metallurgical gas monitoring. In Proceedings - IEEE Symposium on Computers and Communications Article 6912509 (Proceedings - IEEE Symposium on Computers and Communications). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCC.2014.6912509

@inproceedings{10f1d80933aa4402b14eb8af94f20e11,

title = "A wireless sensor network for the metallurgical gas monitoring",

abstract = "The design of a wireless sensor network is introduced for the metallurgical gas monitoring, in which the sensor node support a slot-based configurable gas sensor array both for metallurgical-specific and general purposes at the factory or far regions. The key technologies to compress the multisensor vector data is discussed with an amendatory LBG vector quantization and Huffman coding algorithms. Both the proposed network design and data compression schemes are verified with the hardware prototype and practical data. To the best of our knowledge, it is a novel exploration and practice for the applications of wireless sensor networks in the metallurgical industries, especially for the metallurgical gas monitoring.",

author = "Yang Li and Wei Huangfu and Xiaodong Peng and Yi Xing and Xu Xu and Zhongshan Zhang and Keping Long",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 19th IEEE Symposium on Computers and Communications, ISCC 2014 ; Conference date: 23-06-2014 Through 26-06-2014",

year = "2014",

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day = "26",

doi = "10.1109/ISCC.2014.6912509",

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Li, Y, Huangfu, W, Peng, X, Xing, Y, Xu, X, Zhang, Z & Long, K 2014, A wireless sensor network for the metallurgical gas monitoring. in Proceedings - IEEE Symposium on Computers and Communications., 6912509, Proceedings - IEEE Symposium on Computers and Communications, Institute of Electrical and Electronics Engineers Inc., 19th IEEE Symposium on Computers and Communications, ISCC 2014, Funchal, Portugal, 23/06/14. https://doi.org/10.1109/ISCC.2014.6912509

A wireless sensor network for the metallurgical gas monitoring. / Li, Yang; Huangfu, Wei; Peng, Xiaodong et al.
Proceedings - IEEE Symposium on Computers and Communications. Institute of Electrical and Electronics Engineers Inc., 2014. 6912509 (Proceedings - IEEE Symposium on Computers and Communications).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A wireless sensor network for the metallurgical gas monitoring

AU - Li, Yang

AU - Huangfu, Wei

AU - Peng, Xiaodong

AU - Xing, Yi

AU - Xu, Xu

AU - Zhang, Zhongshan

AU - Long, Keping

PY - 2014/9/26

Y1 - 2014/9/26

N2 - The design of a wireless sensor network is introduced for the metallurgical gas monitoring, in which the sensor node support a slot-based configurable gas sensor array both for metallurgical-specific and general purposes at the factory or far regions. The key technologies to compress the multisensor vector data is discussed with an amendatory LBG vector quantization and Huffman coding algorithms. Both the proposed network design and data compression schemes are verified with the hardware prototype and practical data. To the best of our knowledge, it is a novel exploration and practice for the applications of wireless sensor networks in the metallurgical industries, especially for the metallurgical gas monitoring.

AB - The design of a wireless sensor network is introduced for the metallurgical gas monitoring, in which the sensor node support a slot-based configurable gas sensor array both for metallurgical-specific and general purposes at the factory or far regions. The key technologies to compress the multisensor vector data is discussed with an amendatory LBG vector quantization and Huffman coding algorithms. Both the proposed network design and data compression schemes are verified with the hardware prototype and practical data. To the best of our knowledge, it is a novel exploration and practice for the applications of wireless sensor networks in the metallurgical industries, especially for the metallurgical gas monitoring.

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M3 - Conference contribution

AN - SCOPUS:84908179274

T3 - Proceedings - IEEE Symposium on Computers and Communications

BT - Proceedings - IEEE Symposium on Computers and Communications

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 19th IEEE Symposium on Computers and Communications, ISCC 2014

Y2 - 23 June 2014 through 26 June 2014

ER -

A wireless sensor network for the metallurgical gas monitoring

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