Heterogeneous load balancing clustering protocol for Wireless Sensor Networks
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Cognitive Neuroscience,Experimental and Cognitive Psychology,Software
Reference22 articles.
1. Energy efficient clustering in wireless sensor networks using fuzzy approach to improve LEACH protocol;Abood;International Journal of Management Information Technology,2016
2. An energy aware fuzzy approach to unequal clustering in wireless sensor networks;Bagci;Applied Soft Computing,2013
3. LEACH-MAC: a new cluster head selection algorithm for Wireless Sensor Networks;Batra;Wireless Networks,2016
4. MT-CHR: a modified threshold-based cluster head replacement protocol for wireless sensor networks R;Darabkh;Computers & Electrical Engineering,2018
5. Ding, P., Holliday, J., & Celik, A. (2005). Distributed energy-efficient hierarchical clustering for wireless sensor networks. In International conference on Distributed Computing in Sensor Systems (pp. 322–339).
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3. Performance Evaluation of a Zone-based Three-level Heterogeneous Clustering Protocol for WSNs;Journal of Telecommunications and Information Technology;2023-09-11
4. Hybrid Chameleon Search and Remora Optimization Algorithm‐based Dynamic Heterogeneous load balancing clustering protocol for extending the lifetime of wireless sensor networks;International Journal of Communication Systems;2023-09-04
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