EACH-COA: An Energy-Aware Cluster Head Selection for the Internet of Things Using the Coati Optimization Algorithm

IF 2.4 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Ramasubbareddy Somula, Yongyun Cho, Bhabendu Kumar Mohanta
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引用次数: 0

Abstract

In recent years, the Internet of Things (IoT) has transformed human life by improving quality of life and revolutionizing all business sectors. The sensor nodes in IoT are interconnected to ensure data transfer to the sink node over the network. Owing to limited battery power, the energy in the nodes is conserved with the help of the clustering technique in IoT. Cluster head (CH) selection is essential for extending network lifetime and throughput in clustering. In recent years, many existing optimization algorithms have been adapted to select the optimal CH to improve energy usage in network nodes. Hence, improper CH selection approaches require more extended convergence and drain sensor batteries quickly. To solve this problem, this paper proposed a coati optimization algorithm (EACH-COA) to improve network longevity and throughput by evaluating the fitness function over the residual energy (RER) and distance constraints. The proposed EACH-COA simulation was conducted in MATLAB 2019a. The potency of the EACH-COA approach was compared with those of the energy-efficient rabbit optimization algorithm (EECHS-ARO), improved sparrow optimization technique (EECHS-ISSADE), and hybrid sea lion algorithm (PDU-SLno). The proposed EACH-COA improved the network lifetime by 8–15% and throughput by 5–10%.
基于Coati优化算法的物联网能量感知簇头选择
近年来,物联网(IoT)通过提高生活质量和彻底改变所有商业领域,改变了人类的生活。物联网中的传感器节点相互连接,确保数据通过网络传输到汇聚节点。在物联网中,由于电池电量有限,借助聚类技术可以节约节点中的能量。簇头(CH)选择对于延长集群中的网络生命周期和吞吐量至关重要。近年来,已有许多优化算法被用于选择最优CH以提高网络节点的能量利用率。因此,不当的CH选择方法需要更多的扩展收敛和快速耗尽传感器电池。为了解决这一问题,本文提出了一种coati优化算法(EACH-COA),通过评估剩余能量(RER)和距离约束下的适应度函数来提高网络寿命和吞吐量。在MATLAB 2019a中进行了所提出的EACH-COA仿真。将EACH-COA方法与节能兔子优化算法(EECHS-ARO)、改进麻雀优化技术(EECHS-ISSADE)和杂交海狮算法(PDU-SLno)的有效性进行了比较。提出的EACH-COA将网络寿命提高了8-15%,吞吐量提高了5-10%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Information (Switzerland)
Information (Switzerland) Computer Science-Information Systems
CiteScore
6.90
自引率
0.00%
发文量
515
审稿时长
11 weeks
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