基于花粉算法的广域无线传感器网络最优数据聚合设计Optimal data aggregation design of wide-area WSN based on flower pollination algorithm
兰婷婷;秦丹阳;孙冠宇;
摘要(Abstract):
随着物联网的不断发展,无线传感器网络作为物联网最重要的技术之一得到了广泛的关注。目前,由于传感器通常由电池供电,一旦部署终生使用,因此对于广域的无线传感器网络(Wireless sensor network, WSN),高效利用有限的能量,延长网络的使用寿命变得十分重要。本文设计了一种最优广域无线传感器网络数据聚合模型(Optimal data aggregation model, ODAM),通过将节点间的计算限制在接收器中,降低传感器网络中的能耗,采用花粉算法(Flower pollination algorithm, FPA)以进行ODAM中的优化,确保簇中能量的有效排列,为网络提供恒定的数据速率。仿真结果表明,针对WSN现有的聚类算法和架构模型进行评估时,ODAM模型能够有效地延长网络的生命周期。
关键词(KeyWords): 数据聚合;花粉算法;能耗;无线传感器网络
基金项目(Foundation): 国家自然科学基金资助项目(61771186);; 黑龙江大学研究生创新科研资助项目(YJSCX2021-172HLJU)
作者(Authors): 兰婷婷;秦丹阳;孙冠宇;
DOI: 10.13482/j.issn1001-7011.2021.05.009
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