基于高斯基突变适应性人工鱼群算法的IWSN改进的节能集群方法.
Yeshen Lan1, Chuchu Rao2, Qike Cao3
1School of Mechanical and Electrical Engineering, Quzhou College of Technology, 324000, Quzhou, China.
Scientific reports
|November 7, 2024
概括
本研究介绍了工业无线传感器网络 (IWSNs) 的新集群模型和路由协议,以提高能源效率. 高斯基突变自适应人工鱼群算法 (GAAFSA) 显著提高了网络寿命和数据传输可靠性.
科学领域:
- 计算机科学 计算机科学
- 电气工程 电气工程
- 网络工程 网络工程
背景情况:
- 工业无线传感器网络 (IWSNs) 面临的挑战是当前集群路由方法的能源效率低下.
- 有效的基于集群的路由协议对于优化IWSN性能和延长网络寿命至关重要.
研究的目的:
- 设计一种新的集群模型,以便在IWSNs中高效地选择集群头 (CH) 和传输数据.
- 提出一种新的集群路由协议,高斯变异自适应人工鱼群算法 (GAAFSA),以解决能源效率低下的问题.
主要方法:
- 开发了一个集群模型,考虑了CH能量,基站 (BS) 距离,数据包丢失率和数据延迟.
- 在人工鱼群算法 (AFSA) 中引入了高斯基基突变策略和自适应策略,以防止局部最佳和过早的融合.
- 在实验中,将GAAFSA协议与五个现有的方案 (CMSTR,D2CRP,EEHCHR,ESCVAD,BAFSA) 进行了比较.
主要成果:
- 与其他方案相比,GAAFSA协议在网络能耗,系统寿命,数据传输可靠性和延迟方面表现优越.
- 实现了至少15.68%的网络寿命改善.
- 基站 (BS) 接收的数据包增加了至少7.46%,数据包丢失率降低了至少15.28%.
结论:
- 拟议的GAAFSA协议有效地优化了IWSN性能,并延长了网络寿命.
- 显著减少了网络内的能量损失.
- 显著提高整体网络服务质量 (QoS).
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