Metallurgy, Vol. 63 No. 3-4, 2024.
Original scientific paper
Research on data transmission and energy consumption optimization in steel plant terminal networks based on improved sep protocol
J. J. Bai
; School of Electronic and Information Engineering, University of Science and Technology Liaoning, China; Liaoning Communications Administration, Shenyang 110036, China
Y. Zhao
; School of Management, Anshan Normal University, China
D. C. Liu
; China Mobile Group Liaoning Co., Ltd.
Y. N. Yan
; Xuanya Yike Technology Co., Ltd.
X. B. Chen
orcid.org/0000-0001-6799-7667
; School of Electronic and Information Engineering, University of Science and Technology Liaoning, China
*
Y. X. Sun
; School of Electronic and Information Engineering, University of Science and Technology Liaoning, China
* Corresponding author.
Abstract
In steel plants with harsh conditions, numerous devices equipped with wireless sensors generate vast data and high energy consumption. Our study introduces the optimized PK-SEP algorithm, enhancing the Stable Election Protocol (SEP) and traditional K-means clustering with the elbow method and particle swarm optimization. This approach, tailored for large-scale WSNs in steel plants, effectively extends network lifespan, conserves energy, and improves data throughput, offering a viable solution for energy issues in WSNs and potentially boosting steel production efficiency and sustainability.
Keywords
steel plant; energy consumption; optimization; wireless sensor network; SEP protocol
Hrčak ID:
315672
URI
Publication date:
1.7.2024.
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