工业无线传感器网络节能聚类的混合多准则决策算法

IF 0.9 Q4 TELECOMMUNICATIONS
G. Yogarajan, T. Revathi, A. S. Karthik Kannan
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引用次数: 0

摘要

工业无线传感器网络允许在恶劣的工业环境中使用电池供电的传感器节点进行环境监测。优化利用传感器节点的电池能量,平衡传感器节点之间的能量消耗,是延长网络寿命的关键。本文提出了一种混合多准则决策算法,用于具有异构能量水平和传感器节点之间的流量模式的工业无线传感器网络,以最佳地分组为节能集群。仿真结果表明,与现有算法相比,该方法的网络生存时间提高了70%,向基站发送的数据包提高了75.5%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Hybrid Multicriteria Decision-Making Algorithm for Energy-Efficient Clustering in Industrial Wireless Sensor Networks

Industrial wireless sensor networks allow the use of battery-operated sensor nodes for environmental monitoring in harsh industrial environments. Optimal usage of the sensor node's battery energy and balanced energy consumption among sensor nodes is essential to prolong the lifetime of the network. This letter proposes a hybrid multi-criteria decision-making algorithm for an industrial wireless sensor network with heterogeneous energy levels and traffic patterns among sensor nodes to be optimally grouped into energy-efficient clusters. The simulation results demonstrate that the proposed approach achieves 70% improvement in network lifetime and a 75.5% improvement in packets delivered to the base station over other existing algorithms.

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