Energy Efficient Heterogeneous WNS Clustering Using Machine Learning

SMART MOVES JOURNAL IJOSCIENCE

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Field Value
 
Title Energy Efficient Heterogeneous WNS Clustering Using Machine Learning
 
Creator Maheshwar, Kamini
Veenadhari, Dr. S.
Almelu, Mr
 
Subject HWSN, Clustering, Energy Efficient.
 
Description Heterogeneous wireless sensor network (HWSN) fulfills the requirements of researchers in the design of real-life application to resolve the issues of unattended problem. Wireless sensor networks are used in diverse areas such as battlefields, security, hospitals, universities, etc. It has been used in our everyday lives. Its development is rising day by day. Wireless sensor network includes hundreds to thousands of sensor nodes which aid in gathering various information like temperature, sound, location, etc. Recharging or modifying sensor nodes which might have limited battery power is usually difficult. Therefore, energy conservation is a crucial concern in sustaining the network. Clustering the networks is definitely one of the most common solutions for rendering WSNs energy. In this paper,   review and compare different energy-efficient clustering protocols for WSNs
 
Publisher SMART MOVES
 
Date 2021-06-24
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://ijoscience.com/ojsscience/index.php/ojsscience/article/view/391
10.24113/ijoscience.v7i6.391
 
Source SMART MOVES JOURNAL IJOSCIENCE; Volume 7, Issue 6, June 2021; 24-29
2582-4600
 
Language eng
 
Relation http://ijoscience.com/ojsscience/index.php/ojsscience/article/view/391/913
 
Rights Copyright (c) 2021 Kamini Maheshwar, Dr. S. Veenadhari , Almelu
http://creativecommons.org/licenses/by/4.0
 

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