Novel Clustering Techniques in Wireless Sensor Networks – A Survey

IF 0.8 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC
T.C. Swetha Priya, R. Sridevi
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引用次数: 0

Abstract

A study of Wireless Sensor Networks has been growing tremendously these days. Wireless Sensor Networks play a major role in various fields ranging from smart homes to health care. WSN’s operate independently in remote places. Because of tiny size of the nodes in such type of networks, they have a limited number of resources in terms of energy and power. Basically, sensor networks can be classified into flat and cluster based Wireless Sensor Networks. But, Clustering based Sensor Networks play a major role in reducing the energy consumption in Wireless Sensor Networks. Clustering also focuses on solving the No.s that arise during transmission of data. Clustering will group nodes into clusters and elects Cluster Heads for all clusters in the network. Then the nodes sense data and send that data to cluster head where the aggregation of data will take place. This paper focuses on various novel clustering techniques that improve the network’s lifetime.
无线传感器网络中的新型聚类技术综述
近年来,对无线传感器网络的研究得到了极大的发展。无线传感器网络在从智能家居到医疗保健等各个领域发挥着重要作用。无线传感器网络在偏远地区独立运行。由于这种类型的网络中节点的尺寸很小,它们在能量和功率方面的资源数量有限。基本上,传感器网络可以分为平面无线传感器网络和基于集群的无线传感器网络。而基于聚类的传感器网络在降低无线传感器网络的能耗方面发挥着重要作用。聚类也着重于解决No.;在数据传输过程中产生的S。集群将节点分组到集群中,并为网络中的所有集群选择簇头。然后节点感知数据并将该数据发送到集群头,在那里将发生数据聚合。本文重点介绍了各种提高网络生存期的新型聚类技术。
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来源期刊
CiteScore
1.20
自引率
11.80%
发文量
69
期刊介绍: The International Journal of Electrical and Computer Engineering Systems publishes original research in the form of full papers, case studies, reviews and surveys. It covers theory and application of electrical and computer engineering, synergy of computer systems and computational methods with electrical and electronic systems, as well as interdisciplinary research. Power systems Renewable electricity production Power electronics Electrical drives Industrial electronics Communication systems Advanced modulation techniques RFID devices and systems Signal and data processing Image processing Multimedia systems Microelectronics Instrumentation and measurement Control systems Robotics Modeling and simulation Modern computer architectures Computer networks Embedded systems High-performance computing Engineering education Parallel and distributed computer systems Human-computer systems Intelligent systems Multi-agent and holonic systems Real-time systems Software engineering Internet and web applications and systems Applications of computer systems in engineering and related disciplines Mathematical models of engineering systems Engineering management.
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