认知无线电无线传感器网络中的节点聚类研究

A Survey on Node Clustering in Cognitive Radio Wireless Sensor Networks.

作者信息

Joshi Gyanendra Prasad, Kim Sung Won

机构信息

Department of Information and Communication Engineering, Yeungnam University, 280 Daehak-Ro, Gyeongsan, Geongbuk 38541, Korea.

出版信息

Sensors (Basel). 2016 Sep 10;16(9):1465. doi: 10.3390/s16091465.

DOI:10.3390/s16091465

PMID:27626421

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5038743/

Abstract

Cognitive radio wireless sensor networks (CR-WSNs) have attracted a great deal of attention recently due to the emerging spectrum scarcity issue. This work attempts to provide a detailed analysis of the role of node clustering in CR-WSNs. We outline the objectives, requirements, and advantages of node clustering in CR-WSNs. We describe how a CR-WSN with node clustering differs from conventional wireless sensor networks, and we discuss its characteristics, architecture, and topologies. We survey the existing clustering algorithms and compare their objectives and features. We suggest how clustering issues and challenges can be handled.

摘要

认知无线电无线传感器网络（CR-WSNs）由于新出现的频谱稀缺问题，最近引起了广泛关注。这项工作试图对节点聚类在CR-WSNs中的作用进行详细分析。我们概述了CR-WSNs中节点聚类的目标、要求和优势。我们描述了具有节点聚类的CR-WSN与传统无线传感器网络的不同之处，并讨论了其特点、架构和拓扑结构。我们调查了现有的聚类算法，并比较了它们的目标和特征。我们提出了如何处理聚类问题和挑战的建议。