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Energy efficient clustering and routing protocol based on quantum particle swarm optimization and fuzzy logic for
Huangshui Hu1, Xinji Fan1, Chuhang Wang2
1College of Computer Science and Engineering, Changchun University of Technology, Changchun, China.
Scientific Reports
|August 10, 2024
Summary
This study introduces QPSOFL, a novel protocol for wireless sensor networks that uses quantum particle swarm optimization and fuzzy logic to improve energy efficiency and network lifespan. QPSOFL significantly outperforms existing methods in key performance metrics.
Area of Science:
- Computer Science
- Network Engineering
- Artificial Intelligence
Background:
- Wireless sensor networks (WSNs) face challenges in energy consumption and network longevity.
- Optimizing energy efficiency is crucial for extending WSN lifespan.
- Existing clustering and routing protocols struggle to balance these demands.
Purpose of the Study:
- To introduce QPSOFL, a new protocol integrating quantum particle swarm optimization (QPSO) and fuzzy logic.
- To enhance energy efficiency and prolong the operational lifespan of WSNs.
- To evaluate QPSOFL's performance against established optimization and routing protocols.
Main Methods:
- QPSOFL utilizes an enhanced QPSO algorithm for optimal cluster head selection, employing Sobol sequences for initialization.
- Lévy flight and Gaussian perturbation are used for position updates to avoid local optima.
- A fuzzy logic system within QPSOFL selects the next-hop cluster head based on residual energy, energy deviation, and relay distance.
Main Results:
- Benchmark experiments show QPSOFL surpasses HHO, GWO, PSO, and QPSO in accuracy, search capability, and convergence speed.
- Extensive simulations demonstrate QPSOFL's superior performance in network lifetime, throughput, energy consumption, and scalability compared to E-FUCA, IHHO-F, F-GWO, and FLPSOC.
Conclusions:
- QPSOFL effectively enhances energy efficiency in WSNs.
- The proposed protocol significantly extends network lifespan.
- QPSOFL offers a robust and scalable solution for wireless sensor network optimization.
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