provide a method to reduce energy consumption in wireless sensor networks using DBSCAN clustering algorithm
In this research, we evaluate energy efficient clustering methods in wireless sensor networks. The results of this study indicate that clustering by DBSCAN has a higher efficiency score than other clustering methods. The DBSCAN scored 99%, but the K-Means algorithm scored 76%. Also, the energy remai...
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| Main Author: | |
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| Format: | Article |
| Language: | fas |
| Published: |
University of Qom
2023-03-01
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| Series: | مدیریت مهندسی و رایانش نرم |
| Subjects: | |
| Online Access: | https://jemsc.qom.ac.ir/article_1603_ec54029bf4fc18e7dded93bf5734d5ab.pdf |
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