3-D Multiobjective Deployment of an Industrial Wireless Sensor Network for Maritime Applications Utilizing a Distributed Parallel Algorithm

Effectively monitoring maritime environments has become a vital problem in maritime applications. Traditional methods are not only expensive and time consuming but also restricted in both time and space. More recently, the concept of an industrial wireless sensor network (IWSN) has become a promisin...

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Veröffentlicht in:	IEEE transactions on industrial informatics Jg. 14; H. 12; S. 5487 - 5495
Hauptverfasser:	Cao, Bin, Zhao, Jianwei, Yang, Po, Lv, Zhihan, Liu, Xin, Min, Geyong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.12.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	3-D engine room Algorithm design and analysis Algorithms Crude oil Engine rooms Evolutionary algorithms Evolutionary computation Mathematical models Monitoring multiobjective evolutionary algorithm (MOEA) Multiple objective analysis Network reliability Optimization Remote sensors Sensors State of the art Three dimensional models Three-dimensional displays very large crude-oil carrier (VLCC) Wireless networks wireless sensor network deployment Wireless sensor networks
ISSN:	1551-3203, 1941-0050
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Abstract	Effectively monitoring maritime environments has become a vital problem in maritime applications. Traditional methods are not only expensive and time consuming but also restricted in both time and space. More recently, the concept of an industrial wireless sensor network (IWSN) has become a promising alternative for monitoring next-generation intelligent maritime grids, because IWSNs are cost-effective and easy to deploy. This paper focuses on solving the issue of 3-D IWSN deployment in a 3-D engine room space of a very large crude-oil carrier and also considers numerous power facilities. To address this 3-D IWSN deployment problem for maritime applications, a 3-D uncertain coverage model is proposed that uses a modified 3-D sensing model and an uncertain fusion operator. The deployment problem is converted into a multiobjective optimization problem that simultaneously addresses three objectives: coverage , lifetime, and reliability . Our goal is to achieve extensive coverage, long network lifetime, and high reliability. We also propose a distributed parallel cooperative coevolutionary multiobjective large-scale evolutionary algorithm for maritime applications. We verify the effectiveness of this algorithm through experiments by comparing it with five state-of-the-art algorithms. Numerical results demonstrate that the proposed method performs most effectively both in optimization performance and in minimizing the computation time.
AbstractList	Effectively monitoring maritime environments has become a vital problem in maritime applications. Traditional methods are not only expensive and time consuming but also restricted in both time and space. More recently, the concept of an industrial wireless sensor network (IWSN) has become a promising alternative for monitoring next-generation intelligent maritime grids, because IWSNs are cost-effective and easy to deploy. This paper focuses on solving the issue of 3-D IWSN deployment in a 3-D engine room space of a very large crude-oil carrier and also considers numerous power facilities. To address this 3-D IWSN deployment problem for maritime applications, a 3-D uncertain coverage model is proposed that uses a modified 3-D sensing model and an uncertain fusion operator. The deployment problem is converted into a multiobjective optimization problem that simultaneously addresses three objectives: coverage , lifetime, and reliability . Our goal is to achieve extensive coverage, long network lifetime, and high reliability. We also propose a distributed parallel cooperative coevolutionary multiobjective large-scale evolutionary algorithm for maritime applications. We verify the effectiveness of this algorithm through experiments by comparing it with five state-of-the-art algorithms. Numerical results demonstrate that the proposed method performs most effectively both in optimization performance and in minimizing the computation time.
Author	Cao, Bin Lv, Zhihan Liu, Xin Yang, Po Zhao, Jianwei Min, Geyong
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Cites_doi	10.1109/TSMCC.2013.2258336 10.1016/j.engappai.2014.04.009 10.1109/TIE.2012.2230596 10.1109/CYBER.2015.7287900 10.1109/ICN.2008.115 10.1109/TIE.2013.2293710 10.1109/TIE.2014.2301737 10.1109/TEVC.2003.810758 10.1109/TMC.2010.216 10.1109/TII.2017.2676000 10.1109/JOE.2015.2469955 10.1016/j.epsr.2017.05.003 10.1109/MIS.2015.67 10.1109/TEVC.2015.2455812 10.1007/s11235-015-0009-6 10.1109/TEVC.2009.2014613 10.1109/TEVC.2007.892759 10.1007/s00500-008-0323-y 10.1109/LCN.2007.23 10.1109/SECON.2016.7506744 10.1109/TEVC.2006.872133 10.1109/TMC.2016.2563435 10.1007/11599463_70 10.1016/j.pmcj.2017.06.018 10.1109/4235.996017 10.3390/inventions1040022 10.1109/TSMC.2016.2586075 10.1109/LCOMM.2010.080210.100770 10.1023/A:1008202821328 10.1109/TWC.2002.804190 10.1016/j.engappai.2012.05.018 10.1109/TMC.2014.2353613 10.1109/PIMRC.2004.1373846 10.1109/TMC.2014.2359651 10.1109/JETCAS.2013.2243032 10.1016/j.swevo.2011.02.002 10.1109/TWC.2007.05357 10.1109/TMC.2014.2308209 10.1016/j.eswa.2016.04.016 10.1109/JOE.2016.2639118 10.1109/TC.2005.123 10.1109/ICNC.2011.6022417
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References	ref13 ivanov (ref18) 2015; 30 ref34 ref12 ref37 ref15 ref31 ref30 ref33 ref11 ref32 ref10 cao (ref36) 0 ref2 ref1 ref39 ref17 ref38 ref16 antonio (ref42) 0 ref19 ma (ref8) 2005; 3794 alcalá-fdez (ref46) 0; 13 ref24 ref45 ref23 ref26 ref25 ref20 ref41 ref22 ref44 ref21 ref43 li (ref14) 0; 2 ref28 ref27 ref29 ref7 ref9 ref4 pérez (ref3) 2017; 42 ref6 ref5 ref40 grabisch (ref35) 2000
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SubjectTerms	3-D engine room Algorithm design and analysis Algorithms Crude oil Engine rooms Evolutionary algorithms Evolutionary computation Mathematical models Monitoring multiobjective evolutionary algorithm (MOEA) Multiple objective analysis Network reliability Optimization Remote sensors Sensors State of the art Three dimensional models Three-dimensional displays very large crude-oil carrier (VLCC) Wireless networks wireless sensor network deployment Wireless sensor networks
Title	3-D Multiobjective Deployment of an Industrial Wireless Sensor Network for Maritime Applications Utilizing a Distributed Parallel Algorithm
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