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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

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Paper Title: Multi-Hop State-Aware Routing Strategy for IoT Networks Using Hybrid Deep Learning Techniques
Authors Name: Shivani Dave , Dr.Sanjay Gour
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IJRTI_200948
Published Paper Id: IJRTI2502091
Published In: Volume 10 Issue 2, February-2025
DOI:
Abstract: The proposed approach demonstrates a significant improvement in IoT network performance by leveraging DL to enhance energy efficiency, data transmission reliability, and scalability. The conclusion highlights that integrating DRL, WOA, and DBN allows real-time adaptability to dynamic network conditions, optimizing multi-hop routing. The future scope involves extending this hybrid approach to more complex IoT environments, exploring its applicability in large-scale
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Cite Article: "Multi-Hop State-Aware Routing Strategy for IoT Networks Using Hybrid Deep Learning Techniques ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 2, page no.a873-a878, February-2025, Available :http://www.ijrti.org/papers/IJRTI2502091.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2502091
Registration ID:200948
Published In: Volume 10 Issue 2, February-2025
DOI (Digital Object Identifier):
Page No: a873-a878
Country: bahiyal,dahegam, gujarat, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2502091
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2502091
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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