智能pareto优化的基因算法,用于无线传感器网络中节能集群和路由
M Rajalakshmi1, S Ponni Alias Sathya2
1Department of Artificial Intelligence and Data Science, Dr. Mahalingam College of Engineering and Technology, Pollachi, Tamilnadu, India. rajalakshmi.res89@gmail.com.
Scientific reports
|October 8, 2025
概括
一个新的基于帕雷托的节能集群和路由基因算法 (PGAECR) 优化了无线传感器网络 (WSN). 这种方法提高了能源效率和网络寿命,性能优于现有解决方案.
科学领域:
- 计算机科学 计算机科学
- 网络工程 网络工程
- 无线传感器网络 无线传感器网络
背景情况:
- 无线传感器网络 (WSN) 在功率,存储和计算方面面临限制.
- 这些限制阻碍了医疗保健,商业和军事行动等关键应用中的效率和网络寿命.
研究的目的:
- 引入一种基于帕雷托的新型基因算法,用于节能集群和路由 (PGAECR).
- 提高能源效率并延长WSNs的运行寿命.
主要方法:
- PGAECR整合了历史上最好的解决方案,以加快融合并改善结果.
- 集群和路由决策在单个染色体内统一.
- 一个多目标健身功能评估能耗,剩余能量,负载分布和网络寿命.
主要成果:
- 与其他五种方法相比,PGAECR表现优越.
- 该算法实现了12.4%的能源消耗降低.
- 网络寿命增加了15.7%.
结论:
- 通过优化能源效率和负载均衡,PGAECR有效地解决了WSN的局限性.
- 拟议的算法显著延长了网络寿命,并减少了能源消耗.
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