Novel numerical and computational techniques for remote sensor based monitoring of freshwater quality

Xiaohui Zhu; Yong Yue; Prudence Wong; Yixin Zhang; Jia Meng

doi:10.1109/ICOACS.2016.7563055

Novel numerical and computational techniques for remote sensor based monitoring of freshwater quality

Xiaohui Zhu
, Yong Yue
, Prudence Wong
, Yixin Zhang
, Jia Meng

University of Liverpool

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

Abstract

Freshwater protection is one of the key issues for environment protection. In this paper we propose novel techniques to remotely monitor freshwater quality in river system using wireless sensor networks (WSNs). In order to maximize the performance in water quality monitoring with minimum amount of sensor nodes, we have studied optimal sensor deployment algorithm based on graph theory, genetic algorithm (GA) and storm water management model (SWMM). We have also proposed algorithms to automatically detect and locate the pollution and predict the subsequent reaches which will be polluted. For overcoming the power supply limitation of WSNs, both wind and solar power devices are used as a long-term energy source for sensor nodes.

Original language	English
Title of host publication	Proceedings of 2016 IEEE International Conference of Online Analysis and Computing Science, ICOACS 2016
Editors	Guorong Chen, Jun Peng
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	91-95
Number of pages	5
ISBN (Electronic)	9781467377546
DOIs	https://doi.org/10.1109/ICOACS.2016.7563055
Publication status	Published - 17 Sept 2016
Event	2016 IEEE International Conference of Online Analysis and Computing Science, ICOACS 2016 - Chongqing, China Duration: 28 May 2016 → 29 May 2016

Publication series

Name	Proceedings of 2016 IEEE International Conference of Online Analysis and Computing Science, ICOACS 2016

Conference

Conference	2016 IEEE International Conference of Online Analysis and Computing Science, ICOACS 2016
Country/Territory	China
City	Chongqing
Period	28/05/16 → 29/05/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 6 Clean Water and Sanitation

Keywords

graphy theory
multi-objective optimal algorithms
water quality monitoring
wireless sensor networks

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10.1109/ICOACS.2016.7563055

Cite this

Zhu, X., Yue, Y., Wong, P., Zhang, Y., & Meng, J. (2016). Novel numerical and computational techniques for remote sensor based monitoring of freshwater quality. In G. Chen, & J. Peng (Eds.), Proceedings of 2016 IEEE International Conference of Online Analysis and Computing Science, ICOACS 2016 (pp. 91-95). Article 7563055 (Proceedings of 2016 IEEE International Conference of Online Analysis and Computing Science, ICOACS 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICOACS.2016.7563055

Zhu, Xiaohui ; Yue, Yong ; Wong, Prudence et al. / Novel numerical and computational techniques for remote sensor based monitoring of freshwater quality. Proceedings of 2016 IEEE International Conference of Online Analysis and Computing Science, ICOACS 2016. editor / Guorong Chen ; Jun Peng. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 91-95 (Proceedings of 2016 IEEE International Conference of Online Analysis and Computing Science, ICOACS 2016).

@inproceedings{d3cefc0fc3eb4ab1ac44c74e95ce9f87,

title = "Novel numerical and computational techniques for remote sensor based monitoring of freshwater quality",

abstract = "Freshwater protection is one of the key issues for environment protection. In this paper we propose novel techniques to remotely monitor freshwater quality in river system using wireless sensor networks (WSNs). In order to maximize the performance in water quality monitoring with minimum amount of sensor nodes, we have studied optimal sensor deployment algorithm based on graph theory, genetic algorithm (GA) and storm water management model (SWMM). We have also proposed algorithms to automatically detect and locate the pollution and predict the subsequent reaches which will be polluted. For overcoming the power supply limitation of WSNs, both wind and solar power devices are used as a long-term energy source for sensor nodes.",

keywords = "graphy theory, multi-objective optimal algorithms, water quality monitoring, wireless sensor networks",

author = "Xiaohui Zhu and Yong Yue and Prudence Wong and Yixin Zhang and Jia Meng",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Conference of Online Analysis and Computing Science, ICOACS 2016 ; Conference date: 28-05-2016 Through 29-05-2016",

year = "2016",

month = sep,

day = "17",

doi = "10.1109/ICOACS.2016.7563055",

language = "English",

series = "Proceedings of 2016 IEEE International Conference of Online Analysis and Computing Science, ICOACS 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "91--95",

editor = "Guorong Chen and Jun Peng",

booktitle = "Proceedings of 2016 IEEE International Conference of Online Analysis and Computing Science, ICOACS 2016",

}

Zhu, X , Yue, Y, Wong, P, Zhang, Y & Meng, J 2016, Novel numerical and computational techniques for remote sensor based monitoring of freshwater quality. in G Chen & J Peng (eds), Proceedings of 2016 IEEE International Conference of Online Analysis and Computing Science, ICOACS 2016., 7563055, Proceedings of 2016 IEEE International Conference of Online Analysis and Computing Science, ICOACS 2016, Institute of Electrical and Electronics Engineers Inc., pp. 91-95, 2016 IEEE International Conference of Online Analysis and Computing Science, ICOACS 2016, Chongqing, China, 28/05/16. https://doi.org/10.1109/ICOACS.2016.7563055

Novel numerical and computational techniques for remote sensor based monitoring of freshwater quality. / Zhu, Xiaohui ; Yue, Yong; Wong, Prudence et al.
Proceedings of 2016 IEEE International Conference of Online Analysis and Computing Science, ICOACS 2016. ed. / Guorong Chen; Jun Peng. Institute of Electrical and Electronics Engineers Inc., 2016. p. 91-95 7563055 (Proceedings of 2016 IEEE International Conference of Online Analysis and Computing Science, ICOACS 2016).

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

TY - GEN

T1 - Novel numerical and computational techniques for remote sensor based monitoring of freshwater quality

AU - Zhu, Xiaohui

AU - Yue, Yong

AU - Wong, Prudence

AU - Zhang, Yixin

AU - Meng, Jia

PY - 2016/9/17

Y1 - 2016/9/17

N2 - Freshwater protection is one of the key issues for environment protection. In this paper we propose novel techniques to remotely monitor freshwater quality in river system using wireless sensor networks (WSNs). In order to maximize the performance in water quality monitoring with minimum amount of sensor nodes, we have studied optimal sensor deployment algorithm based on graph theory, genetic algorithm (GA) and storm water management model (SWMM). We have also proposed algorithms to automatically detect and locate the pollution and predict the subsequent reaches which will be polluted. For overcoming the power supply limitation of WSNs, both wind and solar power devices are used as a long-term energy source for sensor nodes.

AB - Freshwater protection is one of the key issues for environment protection. In this paper we propose novel techniques to remotely monitor freshwater quality in river system using wireless sensor networks (WSNs). In order to maximize the performance in water quality monitoring with minimum amount of sensor nodes, we have studied optimal sensor deployment algorithm based on graph theory, genetic algorithm (GA) and storm water management model (SWMM). We have also proposed algorithms to automatically detect and locate the pollution and predict the subsequent reaches which will be polluted. For overcoming the power supply limitation of WSNs, both wind and solar power devices are used as a long-term energy source for sensor nodes.

KW - graphy theory

KW - multi-objective optimal algorithms

KW - water quality monitoring

KW - wireless sensor networks

UR - https://www.scopus.com/pages/publications/84989162911

U2 - 10.1109/ICOACS.2016.7563055

DO - 10.1109/ICOACS.2016.7563055

M3 - Conference Proceeding

AN - SCOPUS:84989162911

T3 - Proceedings of 2016 IEEE International Conference of Online Analysis and Computing Science, ICOACS 2016

SP - 91

EP - 95

BT - Proceedings of 2016 IEEE International Conference of Online Analysis and Computing Science, ICOACS 2016

A2 - Chen, Guorong

A2 - Peng, Jun

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 IEEE International Conference of Online Analysis and Computing Science, ICOACS 2016

Y2 - 28 May 2016 through 29 May 2016

ER -

Zhu X , Yue Y, Wong P, Zhang Y, Meng J. Novel numerical and computational techniques for remote sensor based monitoring of freshwater quality. In Chen G, Peng J, editors, Proceedings of 2016 IEEE International Conference of Online Analysis and Computing Science, ICOACS 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 91-95. 7563055. (Proceedings of 2016 IEEE International Conference of Online Analysis and Computing Science, ICOACS 2016). doi: 10.1109/ICOACS.2016.7563055

Novel numerical and computational techniques for remote sensor based monitoring of freshwater quality

Abstract

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UN SDGs

Keywords

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