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量子自适应性克隆遗传算法用于农业WSNs的低能集群

Jiawei Zhao1,2, Bao Liu3, Lixin Zhang1

  • 1School of Energy and Materials, Shihezi University, 832000, Shihezi, China.

Scientific reports
|October 29, 2025
PubMed
概括

本研究介绍了一种量子自适应克隆基因算法 (QACGA),用于在农业无线传感器网络 (AWSN) 中进行节能集群. QACGA显著降低了能源消耗,并延长了网络寿命,这对于精密农业至关重要.

关键词:
农业物联网的物联网.农业无线传感器网络克隆算法 克隆算法优化能源消耗 优化能源消耗量子遗传算法 量子遗传算法

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Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
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