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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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A Dual Cluster-Head Energy-Efficient Routing Algorithm Based on Canopy Optimization and K-Means for WSN.

Mei Wu1, Zhengliang Li1, Jing Chen2

  • 1School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan 430205, China.

Sensors (Basel, Switzerland)
|December 23, 2022
PubMed
Summary

This study introduces DCK-LEACH, an energy-efficient algorithm for wireless sensor networks (WSN). It enhances network lifetime by optimizing cluster-head selection and energy consumption, outperforming existing protocols.

Keywords:
K-means algorithmcanopy algorithmenergy-efficientnetwork lifetimewireless sensor networks

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Wireless sensor networks (WSNs) are crucial for diverse applications but face energy limitations due to small sensor sizes and inaccessible deployment environments.
  • Extending the operational lifespan of WSNs is critical, as frequent battery replacement is often infeasible.
  • Clustering is a key strategy for reducing energy consumption and prolonging network lifetime in WSNs.

Purpose of the Study:

  • To propose a novel dual cluster-head energy-efficient algorithm (DCK-LEACH) for wireless sensor networks.
  • To enhance the energy efficiency and network lifetime of WSNs through optimized clustering and cluster-head selection.
  • To address the sensitivity of K-means to initial clustering centers by integrating Canopy optimization.

Main Methods:

  • The DCK-LEACH algorithm combines K-means clustering with dynamic Canopy optimization for improved cluster center selection.
  • A hierarchical approach is employed for cluster-head election to balance network load and minimize individual cluster-head energy burden.
  • Primary cluster-heads are selected based on residual energy and distance to the cluster center, while vice cluster-heads consider residual energy and distance to the base station.

Main Results:

  • Simulation results demonstrate that DCK-LEACH significantly extends the lifetime of energy-critical nodes within the network.
  • The proposed algorithm effectively prolongs the overall network lifetime compared to existing WSN protocols.
  • DCK-LEACH shows improved energy efficiency through optimized cluster formation and hierarchical cluster-head selection.

Conclusions:

  • DCK-LEACH offers a significant improvement in energy efficiency and network longevity for wireless sensor networks.
  • The integration of Canopy and K-means, along with a dual cluster-head selection strategy, effectively addresses WSN energy constraints.
  • This algorithm provides a viable solution for applications requiring long-term, reliable WSN operation in power-limited scenarios.