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Related Experiment Video

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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

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Research on Coverage Optimization in a WSN Based on an Improved COOT Bird Algorithm.

Yihui Huang¹, Jing Zhang¹, Wei Wei²

¹Electrical Engineering College, Guizhou University, Guiyang 550025, China.

Sensors (Basel, Switzerland)

|May 20, 2022

Summary

This summary is machine-generated.

This study introduces an improved COOT bird algorithm (COOTCLCO) to enhance wireless sensor network (WSN) node coverage. COOTCLCO significantly boosts node distribution and coverage rates compared to existing optimization algorithms.

Keywords:

COOT bird optimization algorithm Lévy flight chaotic tent map coverage optimization opposition-based learning wireless sensor networks

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Area of Science:

Computer Science
Electrical Engineering
Network Optimization

Background:

Random deployment of wireless sensor network (WSN) nodes leads to uneven distribution and low coverage.
Effective WSN node placement is crucial for maximizing network efficiency and data acquisition.

Purpose of the Study:

To propose an improved COOT bird algorithm (COOTCLCO) for optimizing WSN node coverage.
To address challenges of uneven distribution and low coverage in randomly deployed WSNs.

Main Methods:

Utilizing chaotic tent map for population initialization to enhance diversity.
Incorporating Lévy flight strategy for expanded population search range.
Fusing Cauchy mutation and opposition-based learning to improve local optimum avoidance.

Main Results:

COOTCLCO demonstrates superior convergence speed and accuracy on 23 benchmark functions.
Achieved coverage rate increases of 9.654% (PSO) to 13.888% (BOA) over other algorithms.
Validated effectiveness in improving sensor node coverage and distribution.

Conclusions:

The COOTCLCO algorithm offers a significant improvement in WSN coverage optimization.
It provides a more effective solution for achieving higher coverage rates and better node distribution.
The proposed method enhances the overall performance of wireless sensor networks.