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

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.

Published Online: November-December 2024

Pages: 13-16

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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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