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A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber SystemsClustering Based Energy Load Analysis Model (CBELAM) in Wireless Sensor Networks

A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems: Clustering... [Sensor nodes of wireless sensor networks (WSNs) find it hard to prolong the network lifetime, which is also very expensive. In WSNs, reliable data transmission and prolonged network lifetime have to be achieved. Energy-efficient routing protocol has to be developed, which is a challenging issue in a network. The objective focused in this paper is to balance and minimize the energy consumed by a node during data transmission in WSN, thereby attempts in prolonging the network lifetime. Clustering-based energy load analysis model is presented in this paper to analyze the energy model. The experimental results of the proposed method show better results over the existing methods.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber SystemsClustering Based Energy Load Analysis Model (CBELAM) in Wireless Sensor Networks

Part of the Intelligent Systems Reference Library Book Series (volume 210)
Editors: Kumar, Pardeep; Obaid, Ahmed Jabbar; Cengiz, Korhan; Khanna, Ashish; Balas, Valentina Emilia

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References (22)

Publisher
Springer International Publishing
Copyright
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
ISBN
978-3-030-76652-8
Pages
135 –149
DOI
10.1007/978-3-030-76653-5_7
Publisher site
See Chapter on Publisher Site

Abstract

[Sensor nodes of wireless sensor networks (WSNs) find it hard to prolong the network lifetime, which is also very expensive. In WSNs, reliable data transmission and prolonged network lifetime have to be achieved. Energy-efficient routing protocol has to be developed, which is a challenging issue in a network. The objective focused in this paper is to balance and minimize the energy consumed by a node during data transmission in WSN, thereby attempts in prolonging the network lifetime. Clustering-based energy load analysis model is presented in this paper to analyze the energy model. The experimental results of the proposed method show better results over the existing methods.]

Published: Aug 24, 2021

Keywords: Wireless sensor network; Clustering; Routing protocol; Energy efficiency; Network lifetime

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