Energy Efficient Clustering Protocol for Heterogeneous Wireless Sensor Network: A Hybrid Approach Using GA and K-means
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IEEE
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http://xplorestaging.ieee.org/ielx7/8467553/8478415/08478538.pdf?arnumber=8478538
Cited by 30 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. HAC: Hierarchical Agglomerative Clustering With Linear Programming for Wireless Sensor Networks;IEEE Access;2024
2. An energy efficient clustering in wireless sensor networks using artificial bee colony algorithm compared with particle swarm optimization;AIP Conference Proceedings;2024
3. Energy efficient multi-criterion binary grey wolf optimizer based clustering for heterogeneous wireless sensor networks;Soft Computing;2023-10-26
4. Intelligent IDS in wireless sensor networks using deep fuzzy convolutional neural network;Neural Computing and Applications;2023-04-07
5. Machine learning‐based clustering protocols for Internet of Things networks: An overview;International Journal of Communication Systems;2023-04-02
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