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Intelligent data fusion algorithm based on hybrid delay-aware adaptive clustering in wireless sensor networks

机译:无线传感器网络中基于混合时延感知自适应聚类的智能数据融合算法

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摘要

Data fusion can effectively reduce the amount of data transmission and network energy consumption in wireless sensor networks (WSNs). However the existing data fusion schemes lead to additional delay overhead and power consumptions. In order to improve the performance of WSNs, an intelligent data fusion algorithm based on hybrid delay-aware clustering (HDC) in WSNs is proposed, which combines the advantages of single-layer cluster structure and multi-layer cluster structure, and adaptive selects the clustering patterns of the cluster by the decision function to achieve the tradeoff between network delay and energy consumption. The network model of HDC is presented, and theoretical analysis of the delay and energy consumption of single-layer cluster and multi-layer cluster are provided. And the energy efficient clustering algorithm and the dynamic cluster head re-selection algorithm are proposed to optimize network energy consumption and load balancing of the network. Simulation results show that, compared with the existing delay-aware models, the proposed scheme can effectively reduce the network delay, network energy consumption, and extend the network lifetime simultaneously.
机译:数据融合可以有效减少无线传感器网络(WSN)中的数据传输量和网络能耗。然而,现有的数据融合方案导致额外的延迟开销和功耗。为了提高无线传感器网络的性能,提出了一种基于混合延迟感知聚类(HDC)的无线传感器网络智能数据融合算法,该算法融合了单层集群结构和多层集群结构的优点,自适应选择。决策功能通过集群的集群模式来实现网络延迟与能耗之间的权衡。提出了HDC的网络模型,并对单层集群和多层集群的时延和能耗进行了理论分析。提出了高效节能聚类算法和动态簇头重选算法,以优化网络能耗和网络负载均衡。仿真结果表明,与现有的时延感知模型相比,该方案可以有效地减少网络时延,降低网络能耗,同时延长网络寿命。

著录项

  • 来源
    《Future generation computer systems》 |2020年第3期|1-14|共14页
  • 作者

  • 作者单位

    School of Automation Wuhan University of Technology Wuhan China;

    College of Computer Science South-Central University for Nationalities Wuhan China;

    College of Engineering and Technology University of Derby Derby UK;

    School of Electrical & Electronic Engineering Hanyang Technological University Singapore;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Intelligent data fusion; Delay-aware; Energy consumption; Adaptive clustering; Wireless sensor networks;

    机译:智能数据融合;延迟感知;能源消耗;自适应聚类;无线传感器网络;

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