Research on data transmission and energy consumption optimization in steel plant terminal networks based on improved sep protocol
oleh: J. J. Bai, Y. Zhao, D. C. Liu, Y. N. Yan, X. B. Chen, Y. X. Sun
| Format: | Article |
|---|---|
| Diterbitkan: | Croatian Metallurgical Society 2024-01-01 |
Deskripsi
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.