基于静态聚类的无线传感器网络节能聚类优化生存期

El Idrissi Nezha, Najid Abdellah, Iyad Lahsen-Cherif
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引用次数: 0

摘要

无线传感器网络(wsn)由一组分布在感兴趣区域的传感器节点组成,用于检测环境的物理参数,其中一种常见的主要关注于提高wsn功率因数的方法是聚类。目前聚类方法有两种:在动态聚类中,每轮周期性地形成簇,或者在网络运行过程中,使用静态聚类形成固定的簇。但是,以前的算法没有考虑节点之间通信所消耗的能量。本文提出了一种基于静态聚类的能源效率聚类(EEC)方法来解决聚类过程中的能源消耗问题。在MATLAB中实现了这些算法,并从能效和寿命等各种性能指标进行了评估。仿真结果验证了所提出的方法优于现有的其他方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy Efficient Clustering Based on Static Cluster to Maximize Lifetime in Wireless Sensor Networks
Wireless Sensor Networks (WSNs) consist of a set of sensor nodes distributed in an area of interest used to detect the physical parameters of the environment One of the familiar methods that mainly focus on increasing the power factor in WSNs is clustering Current clustering approaches use two methods: dynamic clustering in which the formation of clusters occurs periodically in each round, or forming clusters that remain fixed during network operation using static clustering, However, the previous algorithms did not consider the energy consumed in the communication between nodes. In the paper, we propose an Energy Efficient Clustering (EEC) based on static clustering to solve the problems of energy consumption used in cluster formation These algorithms were implemented in MATLAB and were evaluated in terms of various performance metrics, such as energy efficiency and lifetime Simulation results have verified that the proposed method is better than the other existing approaches.
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