基于量子粒子群集优化和用于无线传感器网络的模糊逻辑的节能集群和路由协议
Huangshui Hu1, Xinji Fan1, Chuhang Wang2
1College of Computer Science and Engineering, Changchun University of Technology, Changchun, China.
Scientific reports
|August 10, 2024
概括
本研究介绍了QPSOFL,这是一个用于无线传感器网络的新协议,它使用量子粒子群集优化和模糊逻辑来提高能源效率和网络寿命. 在关键绩效指标上,QPSOFL显著优于现有方法.
科学领域:
- 计算机科学 计算机科学
- 网络工程 网络工程
- 人工智能的人工智能
背景情况:
- 无线传感器网络 (WSNs) 面临能源消耗和网络寿命方面的挑战.
- 优化能源效率对于延长WSN寿命至关重要.
- 现有的集群和路由协议难以平衡这些需求.
研究的目的:
- 引入QPSOFL,这是一个集量子粒子群优化 (QPSO) 和模糊逻辑的新协议.
- 提高能源效率并延长WSNs的运行寿命.
- 根据已建立的优化和路由协议来评估QPSOFL的性能.
主要方法:
- QPSOFL使用增强的QPSO算法进行最佳的集群头选择,并使用Sobol序列进行初始化.
- 列维飞行和高斯扰动用于位置更新,以避免局部最佳状态.
- 在QPSOFL内部的一个模糊逻辑系统根据剩余能量,能量偏差和中继距离选择下一个跳跃集群头.
主要成果:
- 基准实验表明,QPSOFL在准确性,搜索能力和融合速度方面超过了HHO,GWO,PSO和QPSO.
- 与E-FUCA,IHHO-F,F-GWO和FLPSOC相比,广泛的模拟显示了QPSOFL在网络寿命,吞吐量,能源消耗和可扩展性方面的卓越性能.
结论:
- QPSOFL有效地提高了WSN中的能源效率.
- 拟议的协议大大延长了网络寿命.
- QPSOFL为无线传感器网络优化提供了强大且可扩展的解决方案.
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