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Hybrid African vulture and Aquila optimizer based efficient clustering approach for enhancing network longevity in wireless sensor networks.

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Title: Hybrid African vulture and Aquila optimizer based efficient clustering approach for enhancing network longevity in wireless sensor networks.
Authors: Mathankumar M; Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Tiruchirappalli, India. mathankumarbit@gmail.com., Thirumoorthi P; Department of Electrical and Electronics Engineering, Kumaraguru College of Technology, Coimbatore, India., Janakiraman S; Department of Information Technology, CVR College of Engineering, Vastunagar, Mangalpally, Range Reddy District, Hyderabad, India., Rajkanna U; Global Engineering Academy, L&T Technology Services, Chennai, India.
Source: Scientific reports [Sci Rep] 2026 Jul 17; Vol. 16 (1). Date of Electronic Publication: 2026 Jul 17.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Hybrid African vulture and Aquila optimizer based efficient clustering approach for enhancing network longevity in wireless sensor networks.
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  Data: <searchLink fieldCode="AU" term="%22Mathankumar+M%22">Mathankumar M</searchLink>; Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Tiruchirappalli, India. mathankumarbit@gmail.com.<br /><searchLink fieldCode="AU" term="%22Thirumoorthi+P%22">Thirumoorthi P</searchLink>; Department of Electrical and Electronics Engineering, Kumaraguru College of Technology, Coimbatore, India.<br /><searchLink fieldCode="AU" term="%22Janakiraman+S%22">Janakiraman S</searchLink>; Department of Information Technology, CVR College of Engineering, Vastunagar, Mangalpally, Range Reddy District, Hyderabad, India.<br /><searchLink fieldCode="AU" term="%22Rajkanna+U%22">Rajkanna U</searchLink>; Global Engineering Academy, L&T Technology Services, Chennai, India.
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  Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2026 Jul 17; Vol. 16 (1). <i>Date of Electronic Publication: </i>2026 Jul 17.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101563288 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2045-2322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220452322%22">20452322 </searchLink><i>NLM ISO Abbreviation: </i>Sci Rep <i>Subsets: </i>MEDLINE; PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42469351
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        Value: 10.1038/s41598-026-62382-w
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        Text: English
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      – TitleFull: Hybrid African vulture and Aquila optimizer based efficient clustering approach for enhancing network longevity in wireless sensor networks.
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              Text: 2026 Jul 17
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