A heuristic deep feature system for energy management in wireless sensor network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s11276-022-03186-4.pdf
Reference29 articles.
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3. Liu, X., Qi, N., Dai, K., Yin, K., Zhao, J., Wang, X., & You, Z. (2022). Sponge Supercapacitor rule-based energy management strategy for wireless sensor nodes optimized by using dynamic programing algorithm. Energy, 239(5), 122368. https://doi.org/10.1016/j.energy.2021.122368
4. Piltyay, S., Bulashenko, A., & Demchenko, I. (2020). Wireless sensor network connectivity in heterogeneous 5G mobile systems. In 2020 IEEE international conference on problems of infocommunications. Science and Technology (PIC S&T) (pp. 625–630). IEEE. https://doi.org/10.1109/PICST51311.2020.9468073
5. Kocherla, R., & Vatambeti, R. (2022). An efficient routing strategy for energy management in wireless sensor network using hybrid routing protocols. Wireless Personal Communications, 124, 49–73. https://doi.org/10.1007/s11277-021-09318-x
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