Aquila Optimized Fuzzy Deep Belief Network for Secure Data Transmission in WSN.
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| Title: | Aquila Optimized Fuzzy Deep Belief Network for Secure Data Transmission in WSN. |
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| Authors: | Jenice Prabhu, A.1 (AUTHOR) Jeniceprabhu@gmail.com, Ahilan, A.2 (AUTHOR) akhilanappathurai@psncet.ac.in, Vijayaraj, Alwarsamy3 (AUTHOR) satturvijay@gmail.com, Gururama Senthilvel, P.4 (AUTHOR) gururamasenthilvelp.sse@saveetha.com |
| Source: | IETE Journal of Research. Nov2024, Vol. 70 Issue 11, p8018-8030. 13p. |
| Subjects: | Wireless sensor network security, Optimization algorithms, Energy consumption, Energy security, Detectors |
| Abstract: | A wireless sensor network (WSN) is made up of several independent sensor nodes that are able to interpret, analyze, and work with data. It is generally recognized that security and limited energy are the two challenging tasks with WSNs. To address these challenges, a novel Aquila-optimized fuzzy deep belief network (AO-FDBN) model has been proposed in this paper. The suggested AO-FDBN framework consists of three stages. Initially, the Aggregator has been selected by using the Aquila optimization algorithm. Secondly, the data from the aggregator are encrypted by using the blowfish algorithm. Finally, the optimal route has been selected by using the fuzzy-deep belief network (DBN). Packet delivery ratio (PDR), transport delay, energy usage, and network lifetime are evaluated between the suggested framework and current methods. Experimental results specify that the suggested AO-FDBN approach achieves higher performance of 22.617%, 14.22%, and 15.64% than TEEFCA, HESC, and SEPC methods. This system is more effective and secure for real-time applications. [ABSTRACT FROM AUTHOR] |
| Copyright of IETE Journal of Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 182024204 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Aquila Optimized Fuzzy Deep Belief Network for Secure Data Transmission in WSN. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Jenice+Prabhu%2C+A%2E%22">Jenice Prabhu, A.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> Jeniceprabhu@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Ahilan%2C+A%2E%22">Ahilan, A.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> akhilanappathurai@psncet.ac.in</i><br /><searchLink fieldCode="AR" term="%22Vijayaraj%2C+Alwarsamy%22">Vijayaraj, Alwarsamy</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> satturvijay@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Gururama+Senthilvel%2C+P%2E%22">Gururama Senthilvel, P.</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> gururamasenthilvelp.sse@saveetha.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IETE+Journal+of+Research%22">IETE Journal of Research</searchLink>. Nov2024, Vol. 70 Issue 11, p8018-8030. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Wireless+sensor+network+security%22">Wireless sensor network security</searchLink><br /><searchLink fieldCode="DE" term="%22Optimization+algorithms%22">Optimization algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+security%22">Energy security</searchLink><br /><searchLink fieldCode="DE" term="%22Detectors%22">Detectors</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: A wireless sensor network (WSN) is made up of several independent sensor nodes that are able to interpret, analyze, and work with data. It is generally recognized that security and limited energy are the two challenging tasks with WSNs. To address these challenges, a novel Aquila-optimized fuzzy deep belief network (AO-FDBN) model has been proposed in this paper. The suggested AO-FDBN framework consists of three stages. Initially, the Aggregator has been selected by using the Aquila optimization algorithm. Secondly, the data from the aggregator are encrypted by using the blowfish algorithm. Finally, the optimal route has been selected by using the fuzzy-deep belief network (DBN). Packet delivery ratio (PDR), transport delay, energy usage, and network lifetime are evaluated between the suggested framework and current methods. Experimental results specify that the suggested AO-FDBN approach achieves higher performance of 22.617%, 14.22%, and 15.64% than TEEFCA, HESC, and SEPC methods. This system is more effective and secure for real-time applications. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of IETE Journal of Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/03772063.2024.2369722 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 8018 Subjects: – SubjectFull: Wireless sensor network security Type: general – SubjectFull: Optimization algorithms Type: general – SubjectFull: Energy consumption Type: general – SubjectFull: Energy security Type: general – SubjectFull: Detectors Type: general Titles: – TitleFull: Aquila Optimized Fuzzy Deep Belief Network for Secure Data Transmission in WSN. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jenice Prabhu, A. – PersonEntity: Name: NameFull: Ahilan, A. – PersonEntity: Name: NameFull: Vijayaraj, Alwarsamy – PersonEntity: Name: NameFull: Gururama Senthilvel, P. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 03772063 Numbering: – Type: volume Value: 70 – Type: issue Value: 11 Titles: – TitleFull: IETE Journal of Research Type: main |
| ResultId | 1 |
