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Published on: September 8, 2023
607
Non-Uniform Clustering Algorithm for UWSNs Based on Energy Equalization
Jinwang Yi1, Jie Tang1, Fei Yuan2
1Fujian Key Laboratory of Communication Network and Information Processing, Xiamen University of Technology, Xiamen 361024, China.
Sensors (Basel, Switzerland)
|July 8, 2023
Summary
This study introduces a non-uniform clustering algorithm to balance energy consumption in underwater sensor networks. The method enhances network lifetime and coverage by optimizing cluster head selection and size.
Area of Science:
- Computer Science
- Electrical Engineering
- Marine Technology
Background:
- Underwater sensor networks (UWSNs) face challenges with random node deployment and environmental currents, leading to uneven distribution and energy consumption.
- The
- hot zone
- problem exacerbates energy depletion in specific network areas, reducing overall efficiency and lifespan.
Purpose of the Study:
- To address uneven energy consumption and prolong the network lifetime in UWSNs.
- To improve network coverage maintenance through intelligent clustering.
Main Methods:
- A non-uniform clustering algorithm for energy equalization is proposed.
- Cluster heads are selected based on residual energy, node density, and coverage redundancy.
- Cluster sizes are dynamically adjusted to equalize energy consumption during multi-hop routing, considering node mobility and residual energy.
Main Results:
- The proposed algorithm effectively prolongs UWSN lifetime.
- It significantly balances energy consumption across the network.
- Improved network coverage maintenance compared to existing algorithms was demonstrated.
Conclusions:
- The non-uniform clustering algorithm offers a viable solution for energy equalization in UWSNs.
- It enhances network longevity and operational efficiency.
- The algorithm provides superior coverage maintenance, crucial for persistent underwater monitoring.
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