Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control

Air Pollutant Source Location based on Zigbee Wireless Network and Optimized Least Square

Authors
Chengxiang Yin
Corresponding Author
Chengxiang Yin
Available Online April 2016.
DOI
10.2991/icmemtc-16.2016.40How to use a DOI?
Keywords
air pollutant source location; wireless sensor network (WSN); Zigbee wireless network; optimized least square; cycle pollutant monitoring.
Abstract

This paper proposed an air pollutant source location system with the combination of the wireless sensor network (WSN) technology based on Zigbee wireless network and an optimized least square method. The system, which can realize the coarse location of the possible air pollutant sources, is illustrated in detail from the factors of technology, architecture and working scheme. This paper also proposed an optimized monitoring method applied to each Zigbee node named cycle pollutant monitoring to reduce the amount of transmission data. The paper finally concluded the advantages as well as the disadvantages of the current system, and made a brief statement of two possible optimization directions.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
978-94-6252-173-5
ISSN
2352-5401
DOI
10.2991/icmemtc-16.2016.40How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Chengxiang Yin
PY  - 2016/04
DA  - 2016/04
TI  - Air Pollutant Source Location based on Zigbee Wireless Network and Optimized Least Square
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 210
EP  - 216
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.40
DO  - 10.2991/icmemtc-16.2016.40
ID  - Yin2016/04
ER  -