An enhanced three-layer clustering approach and security framework for battlefeld surveillance

Dhanushik R Macharla, Suhas Tejaskanda
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引用次数: 1

Abstract

Hierarchical based formation is one of the approaches widely used to minimize the energy consumption in which node with higher residual energy routes the data gathered. Several hierarchical works were proposed in the literature with two and three layered architectures. In the work presented in this paper, we propose an enhanced architecture for three layered hierarchical clustering based approach, which is referred to as enhanced three-layer hierarchical clustering approach (EHCA). The EHCA is based on an enhanced feature of the grid node in terms of its mobility. Further, in our proposed EHCA, we introduce distributed clustering technique for lower level head selection and incorporate security mechanism to detect the presence of any malicious node. We show by simulation results that our proposed EHCA reduces the energy consumption significantly and thus improves the lifetime of the network. Also, we highlight the appropriateness of the proposed EHCA for battlefield surveillance applications.
一种增强的战场监视三层聚类方法和安全框架
基于层次结构的形成是一种广泛使用的最小化能量消耗的方法,其中剩余能量较高的节点路由所收集的数据。在文献中提出了几种采用两层和三层架构的分层作品。在本文的工作中,我们提出了一种基于三层分层聚类方法的增强架构,称为增强型三层分层聚类方法(EHCA)。EHCA基于网格节点在移动性方面的增强特性。此外,在我们提出的EHCA中,我们引入了分布式聚类技术来进行低层头部选择,并结合安全机制来检测任何恶意节点的存在。仿真结果表明,EHCA算法显著降低了网络能耗,提高了网络寿命。此外,我们还强调了EHCA在战场监视应用中的适用性。
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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