在WSAN中通过PSO-HC-DGA混合系统优化两个区域工业环境的演员放置
Paboth Kraikritayakul1, Admir Barolli2, Shinji Sakamoto3
1Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka 811-0295, Japan.
Sensors (Basel, Switzerland)
|March 14, 2026
概括
无线传感器和演员网络 (WSAN) 的新混合系统优化了工业环境中的演员配置. 这种方法确保了强大的连接和覆盖范围,这对于工业4.0自动化至关重要.
科学领域:
- 计算机科学 计算机科学
- 工程 工程师 工程师 工程师
- 自动化 自动化 自动化
背景情况:
- 无线传感器和演员网络 (WSAN) 对工业4.0工业自动化至关重要.
- 在WSAN中为连接和覆盖提供最佳的参与者配置是一个NP难题.
研究的目的:
- 解决受限制的,两区的工业环境中的演员配置问题 (APP).
- 为改进WSAN部署提出和评估一种新的混合系统.
主要方法:
- 开发了一种混合系统,集成了粒子集群优化 (PSO),登 (HC) 和分布式遗传算法 (DGA).
- 评估了四种交叉方法 (UNDX,SPX,BLX-α,psBLX) 和两个替代方法 (RIWM,FC-RDVM).
- 在小型,中型和大型工业场景中评估了业绩.
主要成果:
- psBLX交叉方法在各种场景中表现出卓越的性能.
- 混合系统在大规模测试中实现了100%的连接.
- 与标准PSO系统相比,在负载平衡和传感器覆盖率上观察到统计学上显著的改进.
结论:
- 拟议的PSO-HC-DGA混合系统,特别是使用psBLX方法,为工业WSAN提供了强大而高性能的解决方案.
- 这种方法有效地解决了双区工业环境中的连接和覆盖挑战.
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