Enriched cluster head selection using augmented bifold cuckoo search algorithm for edge‐based internet of medical things,International Journal of Communication Systems

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Enriched cluster head selection using augmented bifold cuckoo search algorithm for edge‐based internet of medical things
International Journal of Communication Systems ( IF 1.7 ) Pub Date : 2021-04-07 , DOI: 10.1002/dac.4817
Dinesh Kumar Anguraj ₁ , Kalaipriyan Thirugnanasambandam ₂ , Raghav R.S ₃ , Sudha S.V ₄ , Saravanan D. ₅

Affiliation

Healthcare organizations are appending advanced scientific tools for processing digital data effectively due to enterprise demands. Among the recent tools, edge computing plays a vital role in aggregation and dissemination of data from the healthcare monitoring devices. A vital challenge in edge computing‐based Internet of Medical Things (IoMT) systems are energy‐efficient monitoring devices which in turn improves the overall lifetime of the network thus in turn improves the quality of monitoring system. In recent years, a significant number of approaches are developed for solving energy efficient communication protocols for IoMT. Clustering is one effective method to reduce the overall energy consumption by the medical wireless devices. The major drawback of the existing models is the sustainability of the network. In this paper, an evolutionary‐based cluster head selection technique is proposed, namely, augmented bifold cuckoo search algorithm (ABCSA). A novel binary model is also developed for handling the binary solution space. The experimental analysis of the proposed model has been evaluated and compared with the existing model to prove it significance. And as a result on comparing with the existing models, proposed ABCSA outperforms the existing models significantly.

中文翻译：

使用基于边缘的医疗物联网的增强型双折布杜鹃搜索算法进行的增强簇头选择

由于企业需求，医疗保健组织正在添加先进的科学工具来有效地处理数字数据。在最近的工具中，边缘计算在医疗保健监控设备的数据聚合和分发中起着至关重要的作用。基于边缘计算的医疗物联网（IoMT）系统面临的一项严峻挑战是高能效的监控设备，这些设备反过来可以改善网络的整体寿命，从而又可以提高监控系统的质量。近年来，开发了许多方法来解决IoMT的节能通信协议。群集是减少医疗无线设备总体能耗的一种有效方法。现有模型的主要缺点是网络的可持续性。在本文中，提出了一种基于进化的簇头选择技术，即增强的双折杜鹃搜索算法（ABCSA）。还开发了一种新颖的二进制模型来处理二进制解空间。对该模型的实验分析进行了评估，并与现有模型进行了比较，以证明其重要性。与现有模型进行比较的结果是，提出的ABCSA明显优于现有模型。

更新日期：2021-05-04

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