Enhancing low latency and high performance in clustered-based wireless sensor network routing using genetic algorithm for 5G networks-Reference-Cited by-同舟云学术

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Enhancing low latency and high performance in clustered-based wireless sensor network routing using genetic algorithm for 5G networks

Published:2023-09-22 Issue:12 Volume:55 Page:
ISSN:0306-8919
Container-title:Optical and Quantum Electronics
language:en
Short-container-title:Opt Quant Electron

Author:

Banu Firdouse,Udhayamoorthi M.,Nallagattla Venkata Ramana Gupta,Maguluri Lakshmana Phaneendra,Mahesh Kumar N. B.,Jayachitra S.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Link

https://link.springer.com/content/pdf/10.1007/s11082-023-05379-3.pdf

Reference20 articles.

1. Bozorgi, S.M., Bidgoli, A.M. HEEC: a hybrid unequal energy efficient clustering for wireless sensor networks. Wirel. Netw. 25, 4751–4772 (2018). https://doi.org/10.1007/s11276-018-1744-x

2. Chettri, L., Bera, R.: A comprehensive survey on internet of things (IoT) toward 5G wireless systems. IEEE Internet Things J. 7(1), 16–32 (2019)

3. Feng, Z.: Protocol for reliable energy data collection based on mobile fog computing. Sustain. Energy Technol. Assess. 44, 101086 (2021), 101086, ISSN 2213–1388. https://doi.org/10.1016/j.seta.2021.101086

4. Gupta, N., Vaisla, K.S., Kumar, R.: Design of a structured hypercube network chip topology model for energy efficiency in wireless sensor network using machine learning. SN Comput. Sci. 2(5), 9–13 (2021)

5. Hampel, G., Li, C., Li, J.: 5G ultra-reliable low-latency communications in factory automation leveraging licensed and unlicensed bands. IEEE Commun. Mag. 57(5), 117–123 (2019)

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