Energy-efficient unequal multi-level clustering for underwater wireless sensor networks
Underwater Wireless Sensor Networks (UWSNs) have emerged as a critical piece of technology for a wide range of maritime applications, including environmental monitoring, resource exploration, and catastrophe avoidance. An Energy Efficient Unequal Multilevel Clustering (EEUMC) algorithm tailored to U...
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| Language: | English |
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Elsevier
2025-01-01
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| Series: | Alexandria Engineering Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016824011815 |
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| author | Sathish Kumar Ravikumar Chinthaginjala Shafiq Ahmad Taehoon Kim |
| author_facet | Sathish Kumar Ravikumar Chinthaginjala Shafiq Ahmad Taehoon Kim |
| author_sort | Sathish Kumar |
| collection | DOAJ |
| description | Underwater Wireless Sensor Networks (UWSNs) have emerged as a critical piece of technology for a wide range of maritime applications, including environmental monitoring, resource exploration, and catastrophe avoidance. An Energy Efficient Unequal Multilevel Clustering (EEUMC) algorithm tailored to UWSNs is proposed in this study. The EEUMC's primary purpose is to enhance the efficiency of data movement inside the network while decreasing the amount of energy lost. The proposed method employs a multilevel clustering framework, which divides the network into hierarchical groups based on node attributes and residual energy content. EEUMC introduces an unequal clustering technique, which differs from traditional clustering approaches. Cluster heads (CHs) are dynamically selected in this technique based on their energy levels as well as their proximity to sink nodes. The EEUMC integrates sophisticated routing protocols and adaptive data aggregation techniques in order to boost the energy economy even further. The routing algorithms route data flows across energy-efficient channels automatically, and adaptive data aggregation reduces redundant transmissions to conserve energy and keep the system functioning smoothly. This particular configuration of unequal clustering, intelligent routing, and adaptive aggregation all work together to improve data-collecting efficiency and network’s lifespan. The efficiency of the proposed EEUMC scheme was thoroughly tested through a number of simulations and head-to-head comparisons with alternative clustering approaches. When compared to more traditional approaches, the findings reveal that EEUMC greatly increases network longevity and data transmission rates. Furthermore, the scheme is robust in the sense that it can withstand changing network conditions while still ensuring a balanced consumption of energy across all nodes. |
| format | Article |
| id | doaj-art-e0c79544a8244fcba54a8baefc11bbc4 |
| institution | Kabale University |
| issn | 1110-0168 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Alexandria Engineering Journal |
| spelling | doaj-art-e0c79544a8244fcba54a8baefc11bbc42025-01-18T05:03:34ZengElsevierAlexandria Engineering Journal1110-01682025-01-011113346Energy-efficient unequal multi-level clustering for underwater wireless sensor networksSathish Kumar0Ravikumar Chinthaginjala1Shafiq Ahmad2Taehoon Kim3Department of ECE, Saveetha School of Engineering, SIMATS Engineering, Chennai 602105, IndiaSchool of Electronics Engineering, Vellore Institute of Technology, Vellore 632014, India; Corresponding authors.Industrial Engineering Department, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi ArabiaSchool of Information and Electronic Engineering, Zhejiang University of Science and Technology, No. 318, Hangzhou, Zhejiang, China; Corresponding authors.Underwater Wireless Sensor Networks (UWSNs) have emerged as a critical piece of technology for a wide range of maritime applications, including environmental monitoring, resource exploration, and catastrophe avoidance. An Energy Efficient Unequal Multilevel Clustering (EEUMC) algorithm tailored to UWSNs is proposed in this study. The EEUMC's primary purpose is to enhance the efficiency of data movement inside the network while decreasing the amount of energy lost. The proposed method employs a multilevel clustering framework, which divides the network into hierarchical groups based on node attributes and residual energy content. EEUMC introduces an unequal clustering technique, which differs from traditional clustering approaches. Cluster heads (CHs) are dynamically selected in this technique based on their energy levels as well as their proximity to sink nodes. The EEUMC integrates sophisticated routing protocols and adaptive data aggregation techniques in order to boost the energy economy even further. The routing algorithms route data flows across energy-efficient channels automatically, and adaptive data aggregation reduces redundant transmissions to conserve energy and keep the system functioning smoothly. This particular configuration of unequal clustering, intelligent routing, and adaptive aggregation all work together to improve data-collecting efficiency and network’s lifespan. The efficiency of the proposed EEUMC scheme was thoroughly tested through a number of simulations and head-to-head comparisons with alternative clustering approaches. When compared to more traditional approaches, the findings reveal that EEUMC greatly increases network longevity and data transmission rates. Furthermore, the scheme is robust in the sense that it can withstand changing network conditions while still ensuring a balanced consumption of energy across all nodes.http://www.sciencedirect.com/science/article/pii/S1110016824011815Residual energyClusteringEEUMCUnderwater wireless sensor networksEnergy consumption |
| spellingShingle | Sathish Kumar Ravikumar Chinthaginjala Shafiq Ahmad Taehoon Kim Energy-efficient unequal multi-level clustering for underwater wireless sensor networks Alexandria Engineering Journal Residual energy Clustering EEUMC Underwater wireless sensor networks Energy consumption |
| title | Energy-efficient unequal multi-level clustering for underwater wireless sensor networks |
| title_full | Energy-efficient unequal multi-level clustering for underwater wireless sensor networks |
| title_fullStr | Energy-efficient unequal multi-level clustering for underwater wireless sensor networks |
| title_full_unstemmed | Energy-efficient unequal multi-level clustering for underwater wireless sensor networks |
| title_short | Energy-efficient unequal multi-level clustering for underwater wireless sensor networks |
| title_sort | energy efficient unequal multi level clustering for underwater wireless sensor networks |
| topic | Residual energy Clustering EEUMC Underwater wireless sensor networks Energy consumption |
| url | http://www.sciencedirect.com/science/article/pii/S1110016824011815 |
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