ISSN2456-3315
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ESTD2016
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Paper Title
Multi-Hop State-Aware Routing Strategy for IoT Networks Using Hybrid Deep Learning Techniques
Authors
Shivani Dave , Dr.Sanjay Gour
Keywords
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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IJRTI — journal style
"Multi-Hop State-Aware Routing Strategy for IoT Networks Using Hybrid Deep Learning Techniques", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.10, Issue 2, page no.a873-a878, February-2025, Available :https://ijrti.org/papers/IJRTI2502091.pdf
APA — 7th edition
Dave, S., & Gour, D. S. (2025). Multi-Hop State-Aware Routing Strategy for IoT Networks Using Hybrid Deep Learning Techniques. International Journal for Research Trends and Innovation, 10(2), a873-a878. https://ijrti.org/viewpaperforall.php?paper=IJRTI2502091
MLA — 9th edition
Dave, Shivani, and Dr.Sanjay Gour. "Multi-Hop State-Aware Routing Strategy for IoT Networks Using Hybrid Deep Learning Techniques." International Journal for Research Trends and Innovation, vol. 10, no. 2, 2025, pp. a873-a878, https://ijrti.org/viewpaperforall.php?paper=IJRTI2502091.
Chicago — 17th, bibliography
Dave, Shivani, and Dr.Sanjay Gour. "Multi-Hop State-Aware Routing Strategy for IoT Networks Using Hybrid Deep Learning Techniques." International Journal for Research Trends and Innovation 10, no. 2 (2025): a873-a878. https://ijrti.org/viewpaperforall.php?paper=IJRTI2502091.
Harvard — author–date
Dave, S. and Gour, D.S. (2025) 'Multi-Hop State-Aware Routing Strategy for IoT Networks Using Hybrid Deep Learning Techniques', International Journal for Research Trends and Innovation, 10(2), pp. a873-a878. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI2502091
IEEE — numbered reference
S. Dave and D. S. Gour, "Multi-Hop State-Aware Routing Strategy for IoT Networks Using Hybrid Deep Learning Techniques," IJRTI, vol. 10, no. 2, pp. a873-a878, Feb. 2025.
Vancouver — biomedical
Dave S, Gour DS. Multi-Hop State-Aware Routing Strategy for IoT Networks Using Hybrid Deep Learning Techniques. IJRTI. 2025 Feb;10(2):a873-a878.
AMA — 11th edition
Dave S, Gour DS. Multi-Hop State-Aware Routing Strategy for IoT Networks Using Hybrid Deep Learning Techniques. IJRTI. 2025;10(2):a873-a878. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI2502091
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI2502091,
author = {Shivani Dave and Dr.Sanjay Gour},
title = {Multi-Hop State-Aware Routing Strategy for IoT Networks Using Hybrid Deep Learning Techniques},
journal = {International Journal for Research Trends and Innovation},
volume = {10},
number = {2},
pages = {a873-a878},
year = {2025},
month = {February},
issn = {2456-3315},
url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI2502091}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Dave, Shivani
AU - Gour, Dr.Sanjay
TI - Multi-Hop State-Aware Routing Strategy for IoT Networks Using Hybrid Deep Learning Techniques
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 10
IS - 2
PY - 2025
SN - 2456-3315
UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI2502091
SP - a873-a878
ER -
Issue
Volume 10 Issue 2,
February-2025
Pages : a873-a878
Other Publication Details
Paper Reg. ID
IJRTI_200948
Published Paper ID
IJRTI2502091
Downloads
205,642
Research Area
Engineering
Country
bahiyal,dahegam, gujarat, India
Published
February 2025
Published Paper PDF
https://ijrti.org/papers/IJRTI2502091.pdf
Published Paper URL
https://ijrti.org/viewpaperforall.php?paper=IJRTI2502091
About Publisher
International Journal for Research Trends and Innovation
Published by IJRTI (JW Publication)
2456-3315
ISSN
10.57
Impact Factor
2016
ESTD Year
Open
Access
Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
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The content, data and findings in this article are based on the authors’ research and have been
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Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
