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Original Article

A Hybrid Energy-Aware and Neuro-Fuzzy Routing Approach for Wireless Sensor Networks in IoT

  • Paper ID 141
  • Volume 4, Issue 6
  • Pages 13-16
  • Published Online: November-December 2024
  • 10 Views
Open Access Peer Reviewed

Authors

  • Mithun Sharma1
  • Hari Om Gupta2
  • Hanumant Sharan Singh3
  • Krishna Dev4

124Research Scholar, Department of Electronics Communication Engineering, Bansal Institute of Engineering and Technology, Dr. A.P.J. Abdul Kalam Technical University, Lucknow, Uttar Pradesh, India. 3Assistant Professor, Department of Electronics Communication Engineering, Bansal Institute of Engineering and Technology, Dr. A.P.J. Abdul Kalam Technical University, Lucknow, Uttar Pradesh, India.

Article Information

DOI
No DOI
Published Online
November-December 2024
Pages
13-16
Article Type
Original Article
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No DOI available for cross-reference

References

1. Arjunan, S.; Pothula, S.; Ponnurangam, D. F5N-based unequal clustering protocol (F5NUCP) for wireless sensor networks. Int. J.
Commun. Syst. 2018, 31, e3811.
2. Rezaeipanah, A.; Amiri, P.; Nazari, H.; Mojarad, M.; Parvin, H. An energy-aware hybrid approach for wireless sensor networks using
re-clustering-based multi-hop routing. Wirel. Pers. Commun. 2021, 120, 3293–3314.
3. Berlin, M.A.; Tripathi, S.; Devi, V.B.; Bhardwaj, I.; Arulkumar, N. IoT-based traffic prediction and traffic signal control system for smart
city. Soft Comput. 2021, 25, 12241–12248. .
4. Norouzi Shad, M.; Maadani, M.; Nesari Moghadam, M. GAPSO-SVM: An IDSS-based energy-aware clustering routing algorithm for
IoT perception layer. Wirel. Pers. Commun. 2021, 1–20. .
5. Satpathy, S.; Prakash, M.; Debbarma, S.; Sengupta, A.S.; Bhattacaryya, B.K. Design a FPGA, fuzzy based, insolent method for prediction
of multi-diseases in rural area. J. Intell. Fuzzy Syst. 2019, 37, 7039–7046.
6. Famila, S.; Jawahar, A.; Sariga, A.; Shankar, K. Improved artificial bee colony optimization based clustering algorithm for SMART
sensor environments. Peer—Peer Netw. Appl. 2020, 13, 1071–1079
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