A probabilistic approach for energy efficient data transmission in pipeline monitoring sensor networks

Yu, Y; Wu, Y; Guo, X; Feng, R; Wan, J

A probabilistic approach for energy efficient data transmission in pipeline monitoring sensor networks

Yu, Y

Wu, Y Guo, X Feng, R Wan, J

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Publication Type:: Journal Article
Citation:: Procedia Engineering, 2011, 24 pp. 64 - 68
Issue Date:: 2011-12-01

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Field	Value	Language
dc.contributor.author	Yu, Y https://orcid.org/0000-0001-9592-8191	en_US
dc.contributor.author	Wu, Y	en_US
dc.contributor.author	Guo, X	en_US
dc.contributor.author	Feng, R	en_US
dc.contributor.author	Wan, J	en_US
dc.date.issued	2011-12-01	en_US
dc.identifier.citation	Procedia Engineering, 2011, 24 pp. 64 - 68	en_US
dc.identifier.issn	1877-7058	en_US
dc.identifier.uri	http://hdl.handle.net/10453/47248
dc.description.abstract	Lifetime network is the main considering problem when deploying wireless sensor networks for integrity monitoring of pipeline infrastructures. And the low network lifetime is always caused by the unbalanced energy consumption in the monitoring networks. So in this paper, a sort of data transmission approach based on probabilistic model is put forward to solve the energy consumption unbalanced and enhance the network lifetime. The optimal problem for maximum network lifetime is introduced, which is solved by artificial fish school algorithm. A series of simulation experiments are carried out to verify the effectiveness of new method. Compared with Direct and Multi-hop methods, new method not only can efficiently balance the network energy load, but also can significantly prolong the network lifetime, meeting the requirements of real-time pipeline monitoring. © 2011 Published by Elsevier Ltd.	en_US
dc.relation.ispartof	Procedia Engineering	en_US
dc.relation.isbasedon	10.1016/j.proeng.2011.11.2603	en_US
dc.title	A probabilistic approach for energy efficient data transmission in pipeline monitoring sensor networks	en_US
dc.type	Journal Article
utslib.citation.volume	24	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	09 Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US
pubs.volume	24	en_US

Abstract:

Lifetime network is the main considering problem when deploying wireless sensor networks for integrity monitoring of pipeline infrastructures. And the low network lifetime is always caused by the unbalanced energy consumption in the monitoring networks. So in this paper, a sort of data transmission approach based on probabilistic model is put forward to solve the energy consumption unbalanced and enhance the network lifetime. The optimal problem for maximum network lifetime is introduced, which is solved by artificial fish school algorithm. A series of simulation experiments are carried out to verify the effectiveness of new method. Compared with Direct and Multi-hop methods, new method not only can efficiently balance the network energy load, but also can significantly prolong the network lifetime, meeting the requirements of real-time pipeline monitoring. © 2011 Published by Elsevier Ltd.

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http://hdl.handle.net/10453/47248