Research on the Evaluation Model for Wireless Sensor Network Performance Based on Mixed Multiattribute Decision-Making
Many application fields initiate using wireless sensor network (WSN), and the evaluation for its performance becomes an important topic, which can help the decision-maker to find the deficiency of the current WSN or seek the best WSN. There exist mixed multiple attributes in the WSN performance eval...
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Published in | Journal of sensors Vol. 2021; no. 1 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
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New York
Hindawi
2021
John Wiley & Sons, Inc |
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Abstract | Many application fields initiate using wireless sensor network (WSN), and the evaluation for its performance becomes an important topic, which can help the decision-maker to find the deficiency of the current WSN or seek the best WSN. There exist mixed multiple attributes in the WSN performance evaluation process, for example, some evaluation indicators can be expressed as interval numbers, while others can be expressed as linguistic variables, so it is necessary to explore the evaluation model based on mixed multiattribute decision-making (MADM). Considering the specific evaluation purpose and requirements for different enterprises, this paper puts forward an indicator selection method and a subjective weighting method based on the rough set theory. After that, based on the transformation of mixed attributes into the unified intuitionistic fuzzy numbers (IFNs), an objective weighting method based on intuitionistic fuzzy entropy is proposed. Meanwhile, the combined weights of indicators are obtained by synthesizing the subjective and objective weights. Subsequently, in order to evaluate WSN performance objectively, an integrated comprehensive evaluation framework is proposed, which includes single evaluation, compatibility test, combination evaluation, and consistency test. The paper gives specific models and calculation steps in detail. Finally, it provides a case study to explain the application of the proposed indicator selection method and the evaluation models, which provide new ideas and references for WSN performance evaluation. |
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AbstractList | Many application fields initiate using wireless sensor network (WSN), and the evaluation for its performance becomes an important topic, which can help the decision-maker to find the deficiency of the current WSN or seek the best WSN. There exist mixed multiple attributes in the WSN performance evaluation process, for example, some evaluation indicators can be expressed as interval numbers, while others can be expressed as linguistic variables, so it is necessary to explore the evaluation model based on mixed multiattribute decision-making (MADM). Considering the specific evaluation purpose and requirements for different enterprises, this paper puts forward an indicator selection method and a subjective weighting method based on the rough set theory. After that, based on the transformation of mixed attributes into the unified intuitionistic fuzzy numbers (IFNs), an objective weighting method based on intuitionistic fuzzy entropy is proposed. Meanwhile, the combined weights of indicators are obtained by synthesizing the subjective and objective weights. Subsequently, in order to evaluate WSN performance objectively, an integrated comprehensive evaluation framework is proposed, which includes single evaluation, compatibility test, combination evaluation, and consistency test. The paper gives specific models and calculation steps in detail. Finally, it provides a case study to explain the application of the proposed indicator selection method and the evaluation models, which provide new ideas and references for WSN performance evaluation. |
Author | Zhang, Yemeng Song, Jiekun Zhao, Zhihao Chen, Rui |
Author_xml | – sequence: 1 givenname: Jiekun orcidid: 0000-0001-6052-252X surname: Song fullname: Song, Jiekun organization: School of Economics and ManagementChina University of PetroleumQingdao 266580Chinacup.edu.cn – sequence: 2 givenname: Yemeng orcidid: 0000-0002-1609-2742 surname: Zhang fullname: Zhang, Yemeng organization: School of Economics and ManagementChina University of PetroleumQingdao 266580Chinacup.edu.cn – sequence: 3 givenname: Zhihao orcidid: 0000-0003-1805-3074 surname: Zhao fullname: Zhao, Zhihao organization: School of Economics and ManagementChina University of PetroleumQingdao 266580Chinacup.edu.cn – sequence: 4 givenname: Rui orcidid: 0000-0003-0617-8208 surname: Chen fullname: Chen, Rui organization: School of Economics and ManagementChina University of PetroleumQingdao 266580Chinacup.edu.cn |
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Cites_doi | 10.3390/sym11040547 10.1016/j.ifacol.2019.12.411 10.1016/j.inffus.2004.06.005 10.1016/j.ins.2012.04.014 10.1109/ICSSSM.2011.5959300 10.1109/JSEE.2015.00111 10.1016/j.jksuci.2018.10.013 10.1049/cje.2017.01.013 10.1016/j.knosys.2009.02.001 10.1016/j.jksuci.2017.11.001 10.1016/j.comcom.2019.01.008 10.1016/0020-0255(75)90017-1 10.1016/j.knosys.2010.01.003 10.1016/j.heliyon.2019.e01591 10.1109/IFSA-NAFIPS.2013.6608375 10.1016/j.omega.2011.07.006 10.1016/j.fss.2019.11.009 10.1155/2012/879629 10.1016/j.microrel.2018.05.019 10.1016/j.inffus.2015.07.001 10.1007/s11277-016-3697-7 10.1007/s00500-015-2015-8 10.1016/j.adhoc.2017.02.007 10.1016/j.knosys.2016.09.026 10.1016/j.inffus.2018.09.013 10.1016/j.ins.2015.10.005 10.1016/j.future.2019.02.004 10.1016/j.ins.2010.11.024 10.1016/j.comcom.2014.02.003 10.1016/S0165-0114(86)80034-3 10.1016/j.ejor.2003.11.031 10.1007/978-981-15-1521-7 10.1007/BF01001956 10.1016/j.dss.2005.03.004 10.1016/j.comcom.2020.04.007 10.1155/2016/1346079 10.1016/j.adhoc.2012.01.004 10.1109/TFUZZ.2011.2170076 10.1016/j.ejor.2006.01.020 10.1016/j.inffus.2018.03.005 10.1016/S0019-9958(65)90241-X 10.1007/s10700-016-9257-5 10.1016/j.camwa.2012.12.008 10.1016/j.asoc.2015.12.045 10.1109/FUZZY.2009.5276884 |
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Copyright | Copyright © 2021 Jiekun Song et al. Copyright © 2021 Jiekun Song et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 |
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