Abstract
Underwater sensor networks(USNs) play a vital role in marine devices, which work under energy -constrained environments. Numerous network clustering algorithms have been proposed to enhance the network lifespan. However, existing network clustering algorithms generally select cluster heads(CHs) randomly, which leads to uneven clustering results, imbalanced energy consumption in the network. In this paper, we present a spectral-clustering-based USN clustering strategy(SCUC), which achieves uniform clustering of network nodes, effectively balancing the energy consumption and prolonging the network lifespan. We also have verified its superiority through simulations.
| Original language | English |
|---|---|
| Title of host publication | OCEANS 2024 - Singapore, OCEANS 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350362077 |
| DOIs | |
| State | Published - 2024 |
| Event | OCEANS 2024 - Singapore, OCEANS 2024 - Singapore, Singapore Duration: 15 Apr 2024 → 18 Apr 2024 |
Publication series
| Name | Oceans Conference Record (IEEE) |
|---|---|
| ISSN (Print) | 0197-7385 |
Conference
| Conference | OCEANS 2024 - Singapore, OCEANS 2024 |
|---|---|
| Country/Territory | Singapore |
| City | Singapore |
| Period | 15/04/24 → 18/04/24 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 14 Life Below Water
Keywords
- node clustering
- spectral clustering
- underwater acoustic sensor networks
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